Funding, Deals & Partnerships: BIOLOGICS & MEDICAL DEVICES; BioMed e-Series; Medicine and Life Sciences Scientific Journal – http://PharmaceuticalIntelligence.com
Infertility is a major reproductive health issue that affects about 12% of women of reproductive age in the United States. Aneuploidy in eggs accounts for a significant proportion of early miscarriage and in vitro fertilization failure. Recent studies have shown that genetic variants in several genes affect chromosome segregation fidelity and predispose women to a higher incidence of egg aneuploidy. However, the exact genetic causes of aneuploid egg production remain unclear, making it difficult to diagnose infertility based on individual genetic variants in mother’s genome. Although, age is a predictive factor for aneuploidy, it is not a highly accurate gauge because aneuploidy rates within individuals of the same age can vary dramatically.
Researchers described a technique combining genomic sequencing with machine-learning methods to predict the possibility a woman will undergo a miscarriage because of egg aneuploidy—a term describing a human egg with an abnormal number of chromosomes. The scientists were able to examine genetic samples of patients using a technique called “whole exome sequencing,” which allowed researchers to home in on the protein coding sections of the vast human genome. Then they created software using machine learning, an aspect of artificial intelligence in which programs can learn and make predictions without following specific instructions. To do so, the researchers developed algorithms and statistical models that analyzed and drew inferences from patterns in the genetic data.
As a result, the scientists were able to create a specific risk score based on a woman’s genome. The scientists also identified three genes—MCM5, FGGY and DDX60L—that when mutated and are highly associated with a risk of producing eggs with aneuploidy. So, the report demonstrated that sequencing data can be mined to predict patients’ aneuploidy risk thus improving clinical diagnosis. The candidate genes and pathways that were identified in the present study are promising targets for future aneuploidy studies. Identifying genetic variations with more predictive power will serve women and their treating clinicians with better information.
Core member and chair of the faculty, Broad Institute of MIT and Harvard; director, Klarman Cell Observatory, Broad Institute of MIT and Harvard; professor of biology, MIT; investigator, Howard Hughes Medical Institute; founding co-chair, Human Cell Atlas.
millions of genome variants, tens of thousands of disease-associated genes, thousands of cell types and an almost unimaginable number of ways they can combine, we had to approximate a best starting point—choose one target, guess the cell, simplify the experiment.
In 2020, advances in polygenic risk scores, in understanding the cell and modules of action of genes through genome-wide association studies (GWAS), and in predicting the impact of combinations of interventions.
we need algorithms to make better computational predictions of experiments we have never performed in the lab or in clinical trials.
Human Cell Atlas and the International Common Disease Alliance—and in new experimental platforms: data platforms and algorithms. But we also need a broader ecosystem of partnerships in medicine that engages interaction between clinical experts and mathematicians, computer scientists and engineers
Feng Zhang, PhD
investigator, Howard Hughes Medical Institute; core member, Broad Institute of MIT and Harvard; James and Patricia Poitras Professor of Neuroscience, McGovern Institute for Brain Research, MIT.
fundamental shift in medicine away from treating symptoms of disease and toward treating disease at its genetic roots.
Gene therapy with clinical feasibility, improved delivery methods and the development of robust molecular technologies for gene editing in human cells, affordable genome sequencing has accelerated our ability to identify the genetic causes of disease.
1,000 clinical trials testing gene therapies are ongoing, and the pace of clinical development is likely to accelerate.
refine molecular technologies for gene editing, to push our understanding of gene function in health and disease forward, and to engage with all members of society
Elizabeth Jaffee, PhD
Dana and Albert “Cubby” Broccoli Professor of Oncology, Johns Hopkins School of Medicine; deputy director, Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins.
a single blood test could inform individuals of the diseases they are at risk of (diabetes, cancer, heart disease, etc.) and that safe interventions will be available.
developing cancer vaccines. Vaccines targeting the causative agents of cervical and hepatocellular cancers have already proven to be effective. With these technologies and the wealth of data that will become available as precision medicine becomes more routine, new discoveries identifying the earliest genetic and inflammatory changes occurring within a cell as it transitions into a pre-cancer can be expected. With these discoveries, the opportunities to develop vaccine approaches preventing cancers development will grow.
shape how the culture of research will develop over the next 25 years, a culture that cares more about what is achieved than how it is achieved.
building a creative, inclusive and open research culture will unleash greater discoveries with greater impact.
John Nkengasong, PhD
Director, Africa Centres for Disease Control and Prevention.
To meet its health challenges by 2050, the continent will have to be innovative in order to leapfrog toward solutions in public health.
Precision medicine will need to take center stage in a new public health order— whereby a more precise and targeted approach to screening, diagnosis, treatment and, potentially, cure is based on each patient’s unique genetic and biologic make-up.
Eric Topol, MD
Executive vice-president, Scripps Research Institute; founder and director, Scripps Research Translational Institute.
In 2045, a planetary health infrastructure based on deep, longitudinal, multimodal human data, ideally collected from and accessible to as many as possible of the 9+ billion people projected to then inhabit the Earth.
enhanced capabilities to perform functions that are not feasible now.
AI machines’ ability to ingest and process biomedical text at scale—such as the corpus of the up-to-date medical literature—will be used routinely by physicians and patients.
the concept of a learning health system will be redefined by AI.
Linda Partridge, PhD
Professor, Max Planck Institute for Biology of Ageing.
Geroprotective drugs, which target the underlying molecular mechanisms of ageing, are coming over the scientific and clinical horizons, and may help to prevent the most intractable age-related disease, dementia.
Trevor Mundel, MD
President of Global Health, Bill & Melinda Gates Foundation.
finding new ways to share clinical data that are as open as possible and as closed as necessary.
moving beyond drug donations toward a new era of corporate social responsibility that encourages biotechnology and pharmaceutical companies to offer their best minds and their most promising platforms.
working with governments and multilateral organizations much earlier in the product life cycle to finance the introduction of new interventions and to ensure the sustainable development of the health systems that will deliver them.
deliver on the promise of global health equity.
Josep Tabernero, MD, PhD
Vall d’Hebron Institute of Oncology (VHIO); president, European Society for Medical Oncology (2018–2019).
genomic-driven analysis will continue to broaden the impact of personalized medicine in healthcare globally.
Precision medicine will continue to deliver its new paradigm in cancer care and reach more patients.
Immunotherapy will deliver on its promise to dismantle cancer’s armory across tumor types.
AI will help guide the development of individually matched
genetic patient screenings
the promise of liquid biopsy policing of disease?
Pardis Sabeti, PhD
Professor, Harvard University & Harvard T.H. Chan School of Public Health and Broad Institute of MIT and Harvard; investigator, Howard Hughes Medical Institute.
the development and integration of tools into an early-warning system embedded into healthcare systems around the world could revolutionize infectious disease detection and response.
But this will only happen with a commitment from the global community.
Els Toreele, PhD
Executive director, Médecins Sans Frontières Access Campaign
we need a paradigm shift such that medicines are no longer lucrative market commodities but are global public health goods—available to all those who need them.
This will require members of the scientific community to go beyond their role as researchers and actively engage in R&D policy reform mandating health research in the public interest and ensuring that the results of their work benefit many more people.
The global research community can lead the way toward public-interest driven health innovation, by undertaking collaborative open science and piloting not-for-profit R&D strategies that positively impact people’s lives globally.
One of the most contagious diseases known to humankind, measles killed an average of 2.6 million people each year before a vaccine was developed, according to the World Health Organization. Widespread vaccination has slashed the death toll. However, lack of access to vaccination and refusal to get vaccinated means measles still infects more than 7 million people and kills more than 100,000 each year worldwide as reported by WHO. The cases are on the rise, tripling in early 2019 and some experience well-known long-term consequences, including brain damage and vision and hearing loss. Previous epidemiological research into immune amnesia suggests that death rates attributed to measles could be even higher, accounting for as much as 50 percent of all childhood mortality.
Over the last decade, evidence has mounted that the measles vaccine protects in two ways. It prevents the well-known acute illness with spots and fever and also appears to protect from other infections over the long term by giving general boost to the immune system. The measles virus can impair the body’s immune memory, causing so-called immune amnesia. By protecting against measles infection, the vaccine prevents the body from losing or “forgetting” its immune memory and preserves its resistance to other infections. Researchers showed that the measles virus wipes out 11% to 73% of the different antibodies that protect against viral and bacterial strains a person was previously immune to like from influenza to herpes virus to bacteria that cause pneumonia and skin infections.
This study at Harvard Medical School and their collaborators is the first to measure the immune damage caused by the virus and underscores the value of preventing measles infection through vaccination. The discovery that measles depletes people’s antibody repertoires, partially obliterating immune memory to most previously encountered pathogens, supports the immune amnesia hypothesis. It was found that those who survive measles gradually regain their previous immunity to other viruses and bacteria as they get re-exposed to them. But because this process may take months to years, people remain vulnerable in the meantime to serious complications of those infections and thus booster shots of routine vaccines may be required.
VirScan detects antiviral and antibacterial antibodies in the blood that result from current or past encounters with viruses and bacteria, giving an overall snapshot of the immune system. Researchers gathered blood samples from unvaccinated children during a 2013 measles outbreak in the Netherlands and used VirScan to measure antibodies before and two months after infection in 77 children who’d contracted the disease. The researchers also compared the measurements to those of 115 uninfected children and adults. Researchers found a striking drop in antibodies from other pathogens in the measles-infected children that clearly suggested a direct effect on the immune system resembling measles-induced immune amnesia.
Further tests revealed that severe measles infection reduced people’s overall immunity more than mild infection. This could be particularly problematic for certain categories of children and adults, the researchers said. The present study observed the effects in previously healthy children only. But, measles is known to hit malnourished children much harder, the degree of immune amnesia and its effects could be even more severe in less healthy populations. Inoculation with the MMR (measles, mumps, rubella) vaccine did not impair children’s overall immunity. The results align with decades of research. Ensuring widespread vaccination against measles would not only help prevent the expected 120,000 deaths that will be directly attributed to measles this year alone, but could also avert potentially hundreds of thousands of additional deaths attributable to the lasting damage to the immune system.
Artificial Intelligence and Cardiovascular Disease
Reporter and Curator: Dr. Sudipta Saha, Ph.D.
3.3.18 Artificial Intelligence and Cardiovascular Disease, Volume 2 (Volume Two: Latest in Genomics Methodologies for Therapeutics: Gene Editing, NGS and BioInformatics, Simulations and the Genome Ontology), Part 2: CRISPR for Gene Editing and DNA Repair
Cardiology is a vast field that focuses on a large number of diseases specifically dealing with the heart, the circulatory system, and its functions. As such, similar symptomatologies and diagnostic features may be present in an individual, making it difficult for a doctor to easily isolate the actual heart-related problem. Consequently, the use of artificial intelligence aims to relieve doctors from this hurdle and extend better quality to patients. Results of screening tests such as echocardiograms, MRIs, or CT scans have long been proposed to be analyzed using more advanced techniques in the field of technology. As such, while artificial intelligence is not yet widely-used in clinical practice, it is seen as the future of healthcare.
The continuous development of the technological sector has enabled the industry to merge with medicine in order to create new integrated, reliable, and efficient methods of providing quality health care. One of the ongoing trends in cardiology at present is the proposed utilization of artificial intelligence (AI) in augmenting and extending the effectiveness of the cardiologist. This is because AI or machine-learning would allow for an accurate measure of patient functioning and diagnosis from the beginning up to the end of the therapeutic process. In particular, the use of artificial intelligence in cardiology aims to focus on research and development, clinical practice, and population health. Created to be an all-in-one mechanism in cardiac healthcare, AI technologies incorporate complex algorithms in determining relevant steps needed for a successful diagnosis and treatment. The role of artificial intelligence specifically extends to the identification of novel drug therapies, disease stratification or statistics, continuous remote monitoring and diagnostics, integration of multi-omic data, and extension of physician effectivity and efficiency.
Artificial intelligence – specifically a branch of it called machine learning – is being used in medicine to help with diagnosis. Computers might, for example, be better at interpreting heart scans. Computers can be ‘trained’ to make these predictions. This is done by feeding the computer information from hundreds or thousands of patients, plus instructions (an algorithm) on how to use that information. This information is heart scans, genetic and other test results, and how long each patient survived. These scans are in exquisite detail and the computer may be able to spot differences that are beyond human perception. It can also combine information from many different tests to give as accurate a picture as possible. The computer starts to work out which factors affected the patients’ outlook, so it can make predictions about other patients.
In current medical practice, doctors will use risk scores to make treatment decisions for their cardiac patients. These are based on a series of variables like weight, age and lifestyle. However, they do not always have the desired levels of accuracy. A particular example of the use of artificial examination in cardiology is the experimental study on heart disease patients, published in 2017. The researchers utilized cardiac MRI-based algorithms coupled with a 3D systolic cardiac motion pattern to accurately predict the health outcomes of patients with pulmonary hypertension. The experiment proved to be successful, with the technology being able to pick-up 30,000 points within the heart activity of 250 patients. With the success of the aforementioned study, as well as the promise of other researches on artificial intelligence, cardiology is seemingly moving towards a more technological practice.
One study was conducted in Finland where researchers enrolled 950 patients complaining of chest pain, who underwent the centre’s usual scanning protocol to check for coronary artery disease. Their outcomes were tracked for six years following their initial scans, over the course of which 24 of the patients had heart attacks and 49 died from all causes. The patients first underwent a coronary computed tomography angiography (CCTA) scan, which yielded 58 pieces of data on the presence of coronary plaque, vessel narrowing and calcification. Patients whose scans were suggestive of disease underwent a positron emission tomography (PET) scan which produced 17 variables on blood flow. Ten clinical variables were also obtained from medical records including sex, age, smoking status and diabetes. These 85 variables were then entered into an artificial intelligence (AI) programme called LogitBoost. The AI repeatedly analysed the imaging variables, and was able to learn how the imaging data interacted and identify the patterns which preceded death and heart attack with over 90% accuracy. The predictive performance using the ten clinical variables alone was modest, with an accuracy of 90%. When PET scan data was added, accuracy increased to 92.5%. The predictive performance increased significantly when CCTA scan data was added to clinical and PET data, with accuracy of 95.4%.
Another study findings showed that applying artificial intelligence (AI) to the electrocardiogram (ECG) enables early detection of left ventricular dysfunction and can identify individuals at increased risk for its development in the future. Asymptomatic left ventricular dysfunction (ALVD) is characterised by the presence of a weak heart pump with a risk of overt heart failure. It is present in three to six percent of the general population and is associated with reduced quality of life and longevity. However, it is treatable when found. Currently, there is no inexpensive, noninvasive, painless screening tool for ALVD available for diagnostic use. When tested on an independent set of 52,870 patients, the network model yielded values for the area under the curve, sensitivity, specificity, and accuracy of 0.93, 86.3 percent, 85.7 percent, and 85.7 percent, respectively. Furthermore, in patients without ventricular dysfunction, those with a positive AI screen were at four times the risk of developing future ventricular dysfunction compared with those with a negative screen.
In recent years, the analysis of big data database combined with computer deep learning has gradually played an important role in biomedical technology. For a large number of medical record data analysis, image analysis, single nucleotide polymorphism difference analysis, etc., all relevant research on the development and application of artificial intelligence can be observed extensively. For clinical indication, patients may receive a variety of cardiovascular routine examination and treatments, such as: cardiac ultrasound, multi-path ECG, cardiovascular and peripheral angiography, intravascular ultrasound and optical coherence tomography, electrical physiology, etc. By using artificial intelligence deep learning system, the investigators hope to not only improve the diagnostic rate and also gain more accurately predict the patient’s recovery, improve medical quality in the near future.
The primary issue about using artificial intelligence in cardiology, or in any field of medicine for that matter, is the ethical issues that it brings about. Physicians and healthcare professionals prior to their practice swear to the Hippocratic Oath—a promise to do their best for the welfare and betterment of their patients. Many physicians have argued that the use of artificial intelligence in medicine breaks the Hippocratic Oath since patients are technically left under the care of machines than of doctors. Furthermore, as machines may also malfunction, the safety of patients is also on the line at all times. As such, while medical practitioners see the promise of artificial technology, they are also heavily constricted about its use, safety, and appropriateness in medical practice.
Issues and challenges faced by technological innovations in cardiology are overpowered by current researches aiming to make artificial intelligence easily accessible and available for all. With that in mind, various projects are currently under study. For example, the use of wearable AI technology aims to develop a mechanism by which patients and doctors could easily access and monitor cardiac activity remotely. An ideal instrument for monitoring, wearable AI technology ensures real-time updates, monitoring, and evaluation. Another direction of cardiology in AI technology is the use of technology to record and validate empirical data to further analyze symptomatology, biomarkers, and treatment effectiveness. With AI technology, researchers in cardiology are aiming to simplify and expand the scope of knowledge on the field for better patient care and treatment outcomes.
Real Time Coverage @BIOConvention #BIO2019: After Trump’s Drug Pricing Blueprint: What Happens Next? A View from Washington; June 3 2019 1:00 PM Philadelphia PA
Dan Todd is the Principal of Todd Strategy, LLC, a consulting firm founded in 2014 and based in Washington, DC. He provides legislative and regulatory strategic guidance and advocacy for healthcare stakeholders impacted by federal healthcare programs.
Prior to Todd Strategy, Mr. Todd was a Senior Healthcare Counsel for the Republican staff of the Senate Finance Committee, the Committee of jurisdiction for the Medicare and Medicaid programs. His areas of responsibility for the committee included the Medicare Part B and Part D programs, which includes physician, medical device, diagnostic and biopharmaceutical issues.
Before joining the Finance Committee, Mr. Todd spent several years in the biotechnology industry, where he led policy development and government affairs strategy. He also represented his companies’ interests with major trade associations such as PhRMA and BIO before federal and state representatives, as well as with key stakeholders such as physician and patient advocacy organizations.
Dan also served as a Special Assistant in the Office of the Administrator at the Centers for Medicare & Medicaid Services (CMS), the federal agency charged with the operation of the Medicare and Medicaid programs. While at CMS, Dan worked on Medicare Part B and Part D issues during the implementation of the Medicare Modernization Act from 2003 to 2005.
Cost efficiencies were never measured.
Removing drug rebates would cost 180 billion over 10 years. CBO came up with similar estimate. Not sure what Congress will do. It appears they will keep the rebates in.
House Dems are really going after PBMs; anytime the Administration makes a proposal goes right into CBO baseline estimates; negotiations appear to be in very early stages and estimates are up in the air
WH close to meet a budget cap but then broke down in next day; total confusion in DC on budget; healthcare is now held up, especially the REBATE rule; : is a shame as panel agrees cost savings would be huge
they had initiated a study to tie the costs of PartB to international drug prices; meant to get at disparity on international drug prices; they currently are only mulling the international price index; other option is to reform Part B; the proposed models were brought out near 2016 elections so not much done; unified agenda;
most of the response of Congress relatively publicly muted; a flat fee program on biologics will have big effect on how physicians and health systems paid; very cat and mouse game in DC around drug pricing
administration is thinking of a PartB “inflation cap”; committees are looking at it seriously; not a rebate; discussion of tiering of physician payments
Ways and Means Cmmtte: proposing in budget to alleve some stresses on PartB deductable amounts;
PartD: looking at ways to shore it up; insurers 80% taxpayers 20% responsible; insurers think it will increase premiums but others think will reduce catastrophic costs; big part of shift in spending in Part D has been this increase in catastrophic costs
this week they may actually move through committees on this issue; Administration trying to use the budgetary process to drive this bargain; however there will have to be offsets so there may be delays in process
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This report is entitled, “REDEFINING YOUR VALUE TO WIN THE EMPOWERED PATIENT. Six Steps for Life Sciences Firms to Stay Relevant in the New Healthcare Ecosystem,” which was published by Strativity Group, LLC in 2019. Please find an excerpt below.
Patients have taken charge of their lives, and they are empowered by increasingly more sophisticated and accessible tools. They still require physicians, hospitals, insurance companies, and life sciences companies to support them, but the dialogue, expectations, and engagement are changing radically as patients approach their healthcare with confidence and knowledge rather than fear and submission.
Today’s Patient Is the New Industry Authority Changing consumer expectations and behaviors have brought just about every industry to a tipping point, where consumers – not traditional experts, companies, or brands – have appointed themselves as the new authority. While the trend may have started in less expert-dependent industries like travel and banking, it’s now also penetrating areas where consumers have historically had much less power and influence, including healthcare. The healthcare industry itself also emboldened patients to redefine their roles in response to rising healthcare costs, shrinking provider availability, and increased skepticism of the medical insurance and life sciences industries. Macro- and micro-trends have come together to create a perfect storm in healthcare, and that means life sciences firms need to seriously rethink their roles and value in the new patient centered landscape. To get a deeper understanding of the new environment, consider the following trends that are putting patients in the driver’s seat: • Knowledge abundance The wealth of knowledge available online has made health information both broadly accessible and much more understandable. Hospitals, nonprofit associations, and bloggers transformed professional jargon and made it accessible to billions of consumers who are now turning to the web before they turn to traditional experts, such as physicians. In fact, a dotHealth Consumer Health Online 2017 Research Report that found 57% of consumers consult the internet for information before visiting a doctor and only 32% consult with their doctor first. iv • Evolution of peer groups Patients are establishing local and global support groups of peers in similar situations. They find this authentic support system trumps traditional knowledge sources such as physicians and pharmaceutical companies. Patients find more strength and support in those groups and amplify their roles in the overall ecosystem.
About Strativity
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that want to differentiate through consistently exceptional customer
and employee experiences during a time of ever-evolving expectations
and digital disruption. With a deep understanding of human motivation
and a proven methodology, we engage the hearts, heads, and hands
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Digital Therapeutics: A Threat or Opportunity to Pharmaceuticals
Reporter and Curator: Dr. Sudipta Saha, Ph.D.
3.3.7 Digital Therapeutics: A Threat or Opportunity to Pharmaceuticals, Volume 2 (Volume Two: Latest in Genomics Methodologies for Therapeutics: Gene Editing, NGS and BioInformatics, Simulations and the Genome Ontology), Part 2: CRISPR for Gene Editing and DNA Repair
Digital Therapeutics (DTx) have been defined by the Digital Therapeutics Alliance (DTA) as “delivering evidence based therapeutic interventions to patients, that are driven by software to prevent, manage or treat a medical disorder or disease”. They might come in the form of a smart phone or computer tablet app, or some form of a cloud-based service connected to a wearable device. DTx tend to fall into three groups. Firstly, developers and mental health researchers have built digital solutions which typically provide a form of software delivered Cognitive-Behaviour Therapies (CBT) that help patients change behaviours and develop coping strategies around their condition. Secondly there are the group of Digital Therapeutics which target lifestyle issues, such as diet, exercise and stress, that are associated with chronic conditions, and work by offering personalized support for goal setting and target achievement. Lastly, DTx can be designed to work in combination with existing medication or treatments, helping patients manage their therapies and focus on ensuring the therapy delivers the best outcomes possible.
Pharmaceutical companies are clearly trying to understand what DTx will mean for them. They want to analyze whether it will be a threat or opportunity to their business. For a long time, they have been providing additional support services to patients who take relatively expensive drugs for chronic conditions. A nurse-led service might provide visits and telephone support to diabetics for example who self-inject insulin therapies. But DTx will help broaden the scope of support services because they can be delivered cost-effectively, and importantly have the ability to capture real-world evidence on patient outcomes. They will no-longer be reserved for the most expensive drugs or therapies but could apply to a whole range of common treatments to boost their efficacy. Faced with the arrival of Digital Therapeutics either replacing drugs, or playing an important role alongside therapies, pharmaceutical firms have three options. They can either ignore DTx and focus on developing drug therapies as they have done; they can partner with a growing number of DTx companies to develop software and services complimenting their drugs; or they can start to build their own Digital Therapeutics to work with their products.
Digital Therapeutics will have knock-on effects in health industries, which may be as great as the introduction of therapeutic apps and services themselves. Together with connected health monitoring devices, DTx will offer a near constant stream of data about an individuals’ behavior, real world context around factors affecting their treatment in their everyday lives and emotional and physiological data such as blood pressure and blood sugar levels. Analysis of the resulting data will help create support services tailored to each patient. But who stores and analyses this data is an important question. Strong data governance will be paramount to maintaining trust, and the highly regulated pharmaceutical industry may not be best-placed to handle individual patient data. Meanwhile, the health sector (payers and healthcare providers) is becoming more focused on patient outcomes, and payment for value not volume. The future will say whether pharmaceutical firms enhance the effectiveness of drugs with DTx, or in some cases replace drugs with DTx.
Digital Therapeutics have the potential to change what the pharmaceutical industry sells: rather than a drug it will sell a package of drugs and digital services. But they will also alter who the industry sells to. Pharmaceutical firms have traditionally marketed drugs to doctors, pharmacists and other health professionals, based on the efficacy of a specific product. Soon it could be paid on the outcome of a bundle of digital therapies, medicines and services with a closer connection to both providers and patients. Apart from a notable few, most pharmaceutical firms have taken a cautious approach towards Digital Therapeutics. Now, it is to be observed that how the pharmaceutical companies use DTx to their benefit as well as for the benefit of the general population.
News announced during the 37th J.P. Morgan Healthcare Conference (#JPM19): Dublin medtech HealthBeacon raises $12m in a Series A round
Reporter: Gail S. Thornton
HealthBeacon’s Smart Sharps system helps patients adhere to their medication schedule. The company was founded by Jim Joyce and Kieran Daly in 2013, and opened offices in Boston in 2017. The digital platform, which last year received vital FDA clearance for the US market, not only ensures that patients keep up with their injectable treatments, but also allows them to dispose of medication in a safe way, and keeps carers up to date with the patients’ progress.
Published January 8, 2019 by John Kennedy, Silicon Republic.
From left: Co-founders Kieran Daly and Jim Joyce. Image: HealthBeacon
With funding and FDA approval under its belt, this Dublin tech start-up has plans to help patients stick to their medication schedule.
Dublin and Boston digital health company HealthBeacon has raised $12m in a Series A investment round that brings total investment in the company to almost $15m.
The round was organised by HealthBeacon and Cantor Fitzgerald, led by Oyster Capital and Elkstone Partners, and the investment syndicate included Quorndon Capital and Cantor Fitzgerald’s private client group. Earlier investors in HealthBeacon include Enterprise Ireland, BVP and a range of angel investors.
‘I know with confidence as to whether my patients are adhering to their treatment strategy’ – DOUG VEALE
“Cantor has a major focus on life sciences and on digital health, and we have every confidence that CEO and co-founder Jim Joyce has created a true sector leader in HealthBeacon,” said Liam Kiely, director of Cantor Fitzgerald.
The announcement was made in San Francisco at the JPMorgan Chase Biotech Showcase. The funding comes on the back of rapid global expansion of the FDA-cleared HealthBeacon Smart Sharps technology.
The right stuff
Dublin-based HealthBeacon’s Smart Sharps system helps patients adhere to their medication schedule. The company was founded by Jim Joyce and Kieran Daly in 2013, and opened offices in Boston in 2017.
The digital platform, which last year received vital FDA clearance for the US market, not only ensures that patients keep up with their injectable treatments, but also allows them to dispose of medication in a safe way, and keeps carers up to date with the patients’ progress.
The funding from this Series A will be used to launch its Smart Sharps system in the US and to develop its portfolio of medical adherence tools for high-value medications.
In 2017, HealthBeacon revealed plans to create 20 new jobs in Dublinin roles spanning IT, software development, project management and customer service. As of today, HealthBeacon operates in 10 markets and has tracked more than 200,000 home-based injections, making it one of the largest global deployments of a medical adherence device. Today, HealthBeacon employs more than 30 people and plans to double the team over the next 18 months.
The addressable market for injectable medications has reached nearly $50bn, according to the company. The Smart Sharps bin system by HealthBeacon has made it easier for patients using injectable medications to stay on track with their treatment. This has resulted in improved patient medication adherence, driving patient care.
In December, HealthBeacon was named eHealth Innovation of the Year by the Irish Medtech Association.
“I’ve been using the HealthBeacon for over two years, and their Smart Sharps bin has had a profound impact on how patients manage their treatment,” said Doug Veale, professor of rheumatology at St Vincent’s Hospital in Dublin.
“I know with confidence as to whether my patients are adhering to their treatment strategy.”
Editor John Kennedy is an award-winning technology journalist.
37th Annual J.P. Morgan HEALTHCARE CONFERENCE: #JPM2019 for Jan. 8, 2019; Opening Videos, Novartis expands Cell Therapies, January 7 – 10, 2019, Westin St. Francis Hotel | San Francisco, California, Volume 2 (Volume Two: Latest in Genomics Methodologies for Therapeutics: Gene Editing, NGS and BioInformatics, Simulations and the Genome Ontology), Part 1: Next Generation Sequencing (NGS)
37th Annual J.P. Morgan HEALTHCARE CONFERENCE: #JPM2019 for Jan. 8, 2019; Opening Videos, Novartis expands Cell Therapies, January 7 – 10, 2019, Westin St. Francis Hotel | San Francisco, California
Reporter: Stephen J. Williams, PhD
The annual J.P. Morgan Healthcare Conference is the largest and most informative healthcare investment symposium in the industry, bringing together industry leaders, emerging fast-growth companies, innovative technology creators, and members of the investment community.
Joe Biden on the Fight Against Cancer
Former Vice President of the United States joined the J.P. Morgan Healthcare Conference to discuss cancer initiatives.
Novartis Talks Move to Cell and Gene Therapies at JPM
Published: Jan 08, 2019By Alex Keown from Biospace.com
Denis Linine / Shutterstock
Following a strong post-hoc analysis of mid-stage data in the fall of 2018, Novartis announced this morning the company’s experimental humanized anti-P-selectin monoclonal antibody was crizanlizumab granted Breakthrough Therapy Status by the U.S.Food and Drug Administration (FDA).
Crizanlizumab received the designation as a treatment for the prevention of vaso-occlusive crises (VOCs) in patients of all genotypes with sickle cell disease (SCD). VOCs, which can be extremely painful for patients, happen when multiple blood cells stick to each other and to blood vessels, causing blockages.
The designation was awarded following results from the Phase II SUSTAIN trial, which showed that crizanlizumab reduced the median annual rate of VOCs leading to health care visits by 45.3 percent compared to placebo. The SUSTAIN study also showed that crizanlizumab significantly increased the percentage of patients who did not experience any VOCs vs placebo, 35.8 percent vs. 16.9 percent.
The FDA designation came one day after the Swiss pharma giant laid out its map for a future of success, sustainability and, if things work out, respect from consumers. In an interview with CNBC Monday, Novartis Chief Executive Officer Vas Narasimhan noted that the company is looking to become an entity that doesn’t draw its profits from treating disease, but will make money by providing cures. He pointed to the moves Novartis has made toward gene and cellular therapies that have the potential to cure patients of various diseases in what many researchers hope could be a “one-and-done” treatment. Narasimhan told CNBC that cures are what society wants and that is something they will value. The challenge will be determining the payment system.
As an example, the company is eying potential approval of a gene therapy for spinal muscular atrophy (SMA), a fatal genetic disease marked by progressive, debilitating muscle weakness in infants and toddlers. Novartis’ gene therapy Zolgensma is expected to be approved by the FDA this year and could have a price tag of between $4 and $5 million. While significantly high, non-profit SMA groups have already suggested that the gene therapy treatment could be more cost-effective than Spinraza, the only approved SMA treatment on the market.
During its presentation at J.P. Morgan, Novartis pointed to the moves it has made as the company pivots to this future of gene and cell therapies. The presentation noted that over the course of 2018, the company made several deals to sell off non-essential businesses, such as the $13 billion sale of its share of a consumer health business to partner GlaxoSmithKline. Not only that, but Novartis also made significant acquisitions to reshape its portfolio, including the $8.7 billion acquisition of AveXis for the SMA gene therapy. The deal for AveXis wasn’t the only gene therapy deal the company struck. Novartis began 2018 with a deal for Spark Therapeutics’ gene therapy Luxturna, a one-time gene therapy to restore functional vision in children and adult patients with biallelic mutations of the RPE65 (retinal pigment epithelial 65 kDa protein) gene.
In his interview with CNBC, Narasimhan said the company is about “platforms,” which also includes radio-ligand therapy. The company forged ahead in that area with two acquisitions, Advanced Accelerator Applications and Endocyte. Radiopharmaceuticals like Endocyte’s Lu-PSMA-617 are innovative medicinal formulations containing radioisotopes used clinically for both diagnosis and therapy. When the Endocyte deal was announced, Novartis noted the field is expected to become an increasingly important treatment option for patients, as well as a key growth driver for the company’s oncology business.
Other posts on the JP Morgan 2019 Healthcare Conference on this Open Access Journal include:
Thriving at the Survival Calls during Careers in the Digital Age – An AGE like no Other, also known as, DIGITAL, Volume 2 (Volume Two: Latest in Genomics Methodologies for Therapeutics: Gene Editing, NGS and BioInformatics, Simulations and the Genome Ontology), Part 1: Next Generation Sequencing (NGS)
Thriving at the Survival Calls during Careers in the Digital Age – An AGE like no Other, also known as, DIGITAL
Author and Curator: Aviva Lev-Ari, PhD, RN
The source for the inspiration to write this curation is described in
Unlike that little cancer conference in Chicago last week, the BIO International convention is not about data, but about the people who make up the biopharma industry.
The meeting brings together scientists, board members, business development heads and salespeople, from the smallest virtual biotechs to the largest of pharmas. It allows executives at fledgling biotechs to sit at the same tables as major decision-makers in the industry — even if it does look a little bit like speed dating.
But it’s not just a partnering meeting.
This year’s BIO also sought to shine a light on pressing issues facing the industry. Among those tackled included elevating the discussion on gender diversity and how to bring more women to the board level; raising awareness around suicide and the need for more mental health treatments; giving a voice to patient advocacy groups; and highlighting the need for access to treatments in developing nations.
Four days of meetings and panel discussions are unlikely to move the needle for many of these challenges, but debate can be the first step toward progress.
I attended the meetings on June 4,5,6, 2018 and covered in Real Time the sessions I attended. On the link below, Tweets, Re-Tweets and Likes mirrors the feelings and the opinions of the attendees as expressed in real time using the Twitter.com platform. This BioTechnology events manifested the AUTHENTICITY of Careers in the Digital Age – An AGE like no Other, also known as, DIGITAL.
The entire event is covered on twitter.com by the following hash tag and two handles:
Part 2: Top 10 books to help you survive the digital age
From Philip K Dick’s obtuse robots to Mark O’Connell’s guide to transhumanism, novelist Julian Gough picks essential reading for a helter skelter world
Here are 10 of the books that did help me [novelist Julian Gough]: they might also help you understand, and survive, our complicated, stressful, digital age.
Marshall McLuhan Unbound by Marshall McLuhan (2005) The visionary Canadian media analyst predicted the internet, and coined the phrase the Global Village, in the early 1960s. His dense, complex, intriguing books explore how changes in technology change us. This book presents his most important essays as 20 slim pamphlets in a handsome, profoundly physical, defiantly non-digital slipcase.
Ubik by Philip K Dick (1969) Pure pulp SF pleasure; a deep book disguised as a dumb one. Dick shows us, not a dystopia, but a believably shabby, amusingly human future. The everyman hero, Joe Chip, wakes up and argues with his robot toaster, which refuses to toast until he sticks a coin in the slot. Joe can’t do this, because he’s broke. He then has a stand-up row with his robot front door, which won’t open, because he owes it money too … Technology changes: being human, and broke, doesn’t. Warning: Dick wrote Ubik at speed, on speed. But embedded in the pulpy prose are diamonds of imagery that will stay with you for ever.
The Singularity Is Near by Ray Kurzweil (2005) This book is what Silicon Valley has instead of a bible. It’s a visionary work that predicts a technological transformation of the world in our lifetime. Kurzweil argues that computer intelligence will soon outperform human thought. We will then encode our minds, upload them, and become one with our technology, achieving the Singularity. At which point, the curve of technological progress starts to go straight up. Ultimately – omnipotent, no longer mortal, no longer flesh – we transform all the matter in the universe into consciousness; into us.
To Be a Machine by Mark O’Connell (2017) This response to Kurzweil won this year’s Wellcome prize. It’s a short, punchy tour of transhumanism: the attempt to meld our minds with machines, to transcend biology and escape death. He meets some of the main players, and many on the fringes, and listens to them, quizzically. It is a deliberately, defiantly human book, operating in that very modern zone between sarcasm and irony, where humans thrive and computers crash.
A Visit from the Goon Squad by Jennifer Egan (2011) This intricately structured, incredibly clever novel moves from the 60s right through to a future maybe 15 years from now. It steps so lightly into that future you hardly notice the transition. It has sex and drugs and rock’n’roll, solar farms, social media scams and a stunningly moving chapter written as a PowerPoint presentation. It’s a masterpiece. Life will be like this.
What Technology Wants by Kevin Kelly (2010) Kelly argues that we scruffy biological humans are no longer driving technological progress. Instead, the technium, “the greater, global, massively interconnected system of technology vibrating around us”, is now driving its own progress, faster and faster, and we are just caught up in its slipstream. As we accelerate down the technological waterslide, there is no stopping now … Kelly’s vision of the future is scary, but it’s fun, and there is still a place for us in it.
The Meme Machine by Susan Blackmore (1999) Blackmore expands powerfully and convincingly on Richard Dawkins’s original concept of the meme. She makes a forceful case that technology, religion, fashion, art and even our personalities are made of memes – ideas that replicate, mutate and thus evolve over time. We are their replicators (if you buy my novel, you’ve replicated its memes); but memes drive our behaviour just as we drive theirs. It’s a fascinating book that will flip your world upside down.
Neuromancer by William Gibson (1984) In the early 1980s, Gibson watched kids leaning into the screens as they played arcade games. They wanted to be inside the machines, he realised, and they preferred the games to reality. In this novel, Gibson invented the term cyberspace; sparked the cyberpunk movement (to his chagrin); and vividly imagined the jittery, multi-screened, anxious, technological reality that his book would help call into being.
You Are Not a Gadget: A Manifesto by Jaron Lanier (2010) Lanier, an intense, brilliant, dreadlocked artist, musician and computer scientist, helped to develop virtual reality. His influential essay Digital Maoism described early the downsides of online collective action. And he is deeply aware that design choices made by (mainly white, young, male) software engineers can shape human behaviour globally. He argues, urgently, that we need to question those choices, now, because once they are locked in, all of humanity must move along those tracks, and we may not like where they take us. Events since 2010 have proved him right. His manifesto is a passionate argument in favour of the individual voice, the individual gesture.
All About Love: New Visions by bell hooks (2000) Not, perhaps, an immediately obvious influence on a near-future techno-thriller in which military drones chase a woman and her son through Las Vegas. But hooks’s magnificent exploration and celebration of love, first published 18 years ago, will be far more useful to us, in our alienated digital future, than the 10,000 books of technobabble published this year.All About Love is an intensely practical roadmap, from where we are now to where we could be. When Naomi and Colt find themselves on the run through a militarised American wilderness of spirit, when GPS fails them, bell hooks is their secret guide.
Part 3: A case study on Thriving at the Survival Calls during Careers in the Digital Age: Aviva Lev-Ari, UCB, PhD’83; HUJI, MA’76
On June 10, 2018
Following, is a case study about an alumna of HUJI and UC, Berkeley as an inspirational role model. An alumna’s profile in context of dynamic careers in the digital age. It has great timeliness and relevance to graduate students, PhD level at UC Berkeley and beyond, to all other top tier universities in the US and Europe. As presented in the following curations:
Professional Self Re-Invention: From Academia to Industry – Opportunities for PhDs in the Business Sector of the Economy
Pioneering implementations of analytics to business decision making: contributions to domain knowledge conceptualization, research design, methodology development, data modeling and statistical data analysis: Aviva Lev-Ari, UCB, PhD’83; HUJI, MA’76
Unemployment figures of PhDs by field of science are included, Ankita Gurao identifies the following four alternative careers for PhDs in the non-academic world:
Phase 2: Corporate Applied Research in the US, 1985 – 2005
Phase 3: Career Reinvention in Health Care, 2005 – 2012
Phase 4: Electronic Scientific Publishing, 4/2012 to present
These four phases are easily mapped to the four alternative careers for PhDs in the non-academic world. One can draw parallel lines between the four career opportunities A,B,C,D, above, and each one of the four phases in my own career.
Namely, I have identified A,B,C,D as early as 1985, and pursued each of them in several institutional settings, as follows:
A. Science Writer/Journalist/Communicator – see link above for Phase 4: Electronic Scientific Publishing, 4/2012 to present
B. Science Management – see link above for Phase 2: Corporate Applied Research in the US, 1985 – 2005 and Phase 3: Career Reinvention in Health Care, 2005 – 2012
C. Science Administration – see link above for Phase 2: Corporate Applied Research in the US, 1985 – 2005and Phase 4: Electronic Scientific Publishing, 4/2012 to present
D. Science Entrepreneurship – see link above for Phase 4: Electronic Scientific Publishing, 4/2012 to present
Impressions ofMy Days at Berkeley in Recollections: Part 1 and 2, below.
Recollections: Part 1 – My days at Berkeley, 9/1978 – 12/1983 –About my doctoral advisor, Allan Pred, other professors and other peers
The topic of Careers in the Digital Age is closely related to my profile, see chiefly: Four-phase Career,Reflections, Recollections Parts 1 & 2 and information from other biographical sources, below.
2012pharmaceutical
Amandeep Kaur
Aashir Awan, Phd
Abhisar Anand
Adina Hazan
Alan F. Kaul, PharmD., MS, MBA, FCCP
alexcrystal6
anamikasarkar
apreconasia
aviralvatsa
David Orchard-Webb, PhD
danutdaagmailcom
Demet Sag, Ph.D., CRA, GCP
Dror Nir
dsmolyar
Ethan Coomber
evelinacohn
Gail S Thornton
Irina Robu
jayzmit48
jdpmd
jshertok
kellyperlman
Ed Kislauskis
larryhbern
Madison Davis
marzankhan
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ofermar2020
Dr. Pati
pkandala
ritusaxena
Rick Mandahl
sjwilliamspa
Srinivas Sriram
stuartlpbi
Dr. Sudipta Saha
tildabarliya
vaishnavee24
zraviv06
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