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Archive for the ‘Frontiers in Cardiology and Cardiovascular Disorders’ Category



Systemic Inflammatory Diseases as Crohn’s disease, Rheumatoid Arthritis and Longer Psoriasis Duration May Mean Higher CVD Risk

Reporter: Aviva Lev-Ari, PhD, RN

Longer Psoriasis Duration May Mean Higher CVD Risk

Effect size ‘similar to that of smoking’

Several studies have shown that methotrexate, which has anti-inflammatory effects, reduces CV risk in patients with rheumatoid arthritis, suggesting that good anti-inflammatory control may be expected to reduce CV risk in patients with psoriasis.

Menter has worked closely with the senior author of the current study, Nehal Mehta, MD, of the University of Pennsylvania in Philadelphia, to identify cardiovascular issues in the psoriasis population. In one recent study, investigators found that the prevalence of moderate-to-severe coronary calcification was similar between patients with psoriasis and those with type 2 diabetes, and approximately five times greater than healthy controls.

Investigators found that moderate-to-severe psoriasis was a significantly stronger predictor of coronary calcification than type 2 diabetes, and the effect was independent of known CV and cardiometabolic risk factors.

 

SOURCE

https://www.medpagetoday.com/Dermatology/Psoriasis/68429?xid=nl_mpt_cardiodaily_2017-10-09&eun=g99985d0r

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In Europe, BigData@Heart aim to improve patient outcomes and reduce societal burden of atrial fibrillation (AF), heart failure (HF) and acute coronary syndrome (ACS).

Reporter: Aviva Lev-Ari, PhD, RN

 

PRESS RELEASE

The objective of BigData@Heart is to develop a data-driven translational research platform of unparalleled scale and phenotypical resolution, with the aim to improve patient outcomes and reduce societal burden of atrial fibrillation (AF), heart failure (HF) and acute coronary syndrome (ACS).

AF, HF and ACS are major drivers of cardiovascular disease (CVD), which causes more than 3.9 million deaths each year across Europe – accounting for 45% of all deaths (49% of deaths among women and 40% of deaths among men) – with 1.3 million of these deaths occuring before the age of 75 years. Of the total cost of CVD in the EU (€210 billion a year), around 53% (€111 billion) is due to health care costs, 26% (€54 billion) to productivity losses and 21% (€45 billion) to the informal care of people with CVD.(i)

Currently, the management of AF, HF and ACS is complicated by their complex aetiology and heterogeneous prognoses. This renders the response to therapy unpredictable, with large variations amongst individuals and, importantly, small or undetectable treatment effects in large patient trials. Also, tolerability of medications and adherence to current treatments shows wide variations. Aside from the medical need, drug development pipelines from early target validation through to late post-marketing work have proven to be slow and high-risk. The lack of high-resolution biomarkers and computable definitions frustrates progress in the development of successful CVD therapies. There is a clear need for a better definition of CVD through improved biomarkers and endpoints, as well as its outcomes and prognoses.

BigData@Heart uniquely brings together key players and stakeholders in the CVD field to address these challenges. The clinical researchers involved have been instrumental in shaping current AF, HF and ACS treatment and management in Europe. They will join forces with leading epidemiologists, big data scientists, leading cardiovascular practitioners, pharmaceutical industry scientists, experts in ethics and legal aspects, and patient organisations from across Europe. The BigData@Heart consortium will develop a data-driven translational research platform which will be aiming at delivering clinically relevant disease phenotypes, scalable insights from real-world evidence, best-practices in drug development, and personalised medicines through advanced analytics.

For the first time, BigData@Heart will assemble European-wide consented cohorts (conventional research data), electronic health records (EHRs) in population settings (e.g. CALIBER, ABUCASIS, MONDRIAAN), hospital based EHRs, disease quality improvement registries (e.g. SWEDEHEART, NICOR, SwedeHF), clinically recorded imaging data, and trial data (covering over 75,000 patients).

BigData@Heart will deliver population relevant disease-based datasets (with > 5 million cases of HF, AF and ACS and healthy population cohorts > 16 million people accruing a further > 500,000 cases on follow up) and phenotypic depth with biomarker, behavioural, clinical, imaging data and genomic information with genome-wide association study (GWAS) consortia in each disease (AFGen, HERMES, GENIUS-CHD).

 

This project will develop and test a framework that will enable big data driven cardiovascular research, including the development of:

  • New definitions of diseases and outcomes that are universal, computable, and relevant for patients, clinicians, industry and regulators.
  • Informatics platforms that link, visualise and harmonise data sources of varying types, completeness and structure.
  • Data science techniques to develop new definitions of disease, identify new phenotypes, and construct personalized predictive models.
  • Guidelines that allow for cross-border usage of big data sources acknowledging ethical and legal constraints as well as data security.

The ultimate expected impact of BigData@Heart on science, industry, policies, and patients includes a better understanding of heart disease, the development of new therapy targets, improved drug and device development/utilisation, and laying a scientific foundation for progress in the personalised treatment and management of CVD.

 

BigData@Heart is a 5-year, € 19 million project supported by the Innovative Medicines Initiative (IMI), a public-private partnership between the European Union and the European pharmaceutical industry.  The pharmaceutical industry contributes half of BigData@Heart’s budget, while the other half is funded by the European Commission.

 

BigData@Heart Structure and Participants

The consortium is being jointly led by Prof. Diederick E. (Rick) Grobbee from the University Medical Center Utrecht (UMCU) and Dr. Gunnar Brobert from Bayer and consists of 19 partners coming from academia, medical associations, pharmaceutical industry, SMEs and patient organisations:

  • University Medical Center Utrecht (UMCU)
  • Charité – Universitätsmedizin Berlin (Charité)
  • European Society of Cardiology (ESC)
  • European Heart Network (EHN)
  • University College London (UCL)
  • University of Cambridge (CAM)
  • International Consortium for Health Outcomes Measurement (ICHOM)
  • Fundación para la investigación del Hospital Clinico de la Comunidad Valenciana (INCLIVA)

‘BigData@Heart will show how big data can drive progress in the treatment and management of CVD’, Prof. Diederick E. (Rick) Grobbee, University Medical Center Utrecht (UMCU)

 

For more info: www.bigdata-heart.eu

SOURCE

From: IMI BigDataAtHeart <info=vitaltransformation.com@mail231.atl171.mcdlv.net> on behalf of IMI BigDataAtHeart <info@vitaltransformation.com>

Reply-To: <us15-13fc61bdf7-d3376746c8@conversation01.mailchimpapp.com>

Date: Monday, July 10, 2017 at 6:05 AM

To: Aviva Lev-Ari <AvivaLev-Ari@alum.berkeley.edu>

Subject: Press Release: Big Data for Better Hearts: Breaking new ground for millions of patients with heart disease in Europe

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SNP-based Study on high BMI exposure confirms CVD and DM Risks – no associations with Stroke

Reporter: Aviva Lev-Ari, PhD, RN

Genes Affirm: High BMI Carries Weighty Heart, Diabetes Risk – Mendelian randomization study adds to ‘burgeoning evidence’

by Crystal Phend, Senior Associate Editor, MedPage Today, July 05, 2017

 

The “genetically instrumented” measure of high BMI exposure — calculated based on 93 single-nucleotide polymorphisms associated with BMI in prior genome-wide association studies — was associated with the following risks (odds ratios given per standard deviation higher BMI):

  • Hypertension (OR 1.64, 95% CI 1.48-1.83)
  • Coronary heart disease (CHD; OR 1.35, 95% CI 1.09-1.69)
  • Type 2 diabetes (OR 2.53, 95% CI 2.04-3.13)
  • Systolic blood pressure (β 1.65 mm Hg, 95% CI 0.78-2.52 mm Hg)
  • Diastolic blood pressure (β 1.37 mm Hg, 95% CI 0.88-1.85 mm Hg)

However, there were no associations with stroke, Donald Lyall, PhD, of the University of Glasgow, and colleagues reported online in JAMA Cardiology.

The associations independent of age, sex, Townsend deprivation scores, alcohol intake, and smoking history were found in baseline data from 119,859 participants in the population-based U.K. Biobank who had complete medical, sociodemographic, and genetic data.

“The main advantage of an MR approach is that certain types of study bias can be minimized,” the team noted. “Because DNA is stable and randomly inherited, which helps to mitigate errors from reverse causality and confounding, genetic variation can be used as a proxy for lifetime BMI to overcome limitations such as reverse causality and confounding, a process that hampers observational analyses of obesity and its consequences.”

 

Other related articles published in this Open Access Online Scientific Journal include the following:

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    Etiologies of Cardiovascular Diseases: Epigenetics, Genetics and Genomics

    Nov 28, 2015 | Kindle eBook

    by Justin D. Pearlman MD ME PhD MA FACC and Stephen J. Williams PhD
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    Perspectives on Nitric Oxide in Disease Mechanisms (Biomed e-Books Book 1)

    Jun 20, 2013 | Kindle eBook

    by Margaret Baker PhD and Tilda Barliya PhD
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    Cancer Therapies: Metabolic, Genomics, Interventional, Immunotherapy and Nanotechnology in Therapy Delivery (Series C Book 2)

    May 13, 2017 | Kindle eBook

    by Larry H. Bernstein and Demet Sag
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    Metabolic Genomics & Pharmaceutics (BioMedicine – Metabolomics, Immunology, Infectious Diseases Book 1)

    Jul 21, 2015 | Kindle eBook

    by Larry H. Bernstein MD FCAP and Prabodah Kandala PhD
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    Milestones in Physiology: Discoveries in Medicine, Genomics and Therapeutics (Series E: Patient-Centered Medicine Book 3)

    Dec 26, 2015 | Kindle eBook

    by Larry H. Bernstein MD FACP and Aviva Lev-Ari PhD RN
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    Genomics Orientations for Personalized Medicine (Frontiers in Genomics Research Book 1)

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    by Sudipta Saha PhD and Ritu Saxena PhD
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    Cancer Biology and Genomics for Disease Diagnosis (Series C: e-Books on Cancer & Oncology Book 1)

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    by Larry H Bernstein MD FCAP and Prabodh Kumar Kandala PhD
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    Regenerative and Translational Medicine: The Therapeutic Promise for Cardiovascular Diseases

    Dec 26, 2015 | Kindle eBook

    by Justin D. Pearlman MD ME PhD MA FACC and Stephen J. Williams
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    Cardiovascular Original Research: Cases in Methodology Design for Content Co-Curation: The Art of Scientific & Medical Curation

    Nov 29, 2015 | Kindle eBook

    by Larry H. Bernstein MD FCAP and Aviva Lev-Ari PhD RN
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Arrhythmias Detection: Speeding Diagnosis and Treatment – New deep learning algorithm can diagnose 14 types of heart rhythm defects by sifting through hours of ECG data generated by some REMOTELY iRhythm’s wearable monitors

Reporter: Aviva Lev-Ari, PhD, RN

 

Long term, the group hopes this algorithm could be a step toward expert-level arrhythmia diagnosis for people who don’t have access to a cardiologist, as in many parts of the developing world and in other rural areas. More immediately, the algorithm could be part of a wearable device that at-risk people keep on at all times that would alert emergency services to potentially deadly heartbeat irregularities as they’re happening.

said Pranav Rajpurkar, a graduate student and co-lead author of the paper. “For example, two forms of the arrhythmia known as second-degree atrioventricular block look very similar, but one requires no treatment while the other requires immediate attention.”

To test accuracy of the algorithm, the researchers gave a group of three expert cardiologists 300 undiagnosed clips and asked them to reach a consensus about any arrhythmias present in the recordings. Working with these annotated clips, the algorithm could then predict how those cardiologists would label every second of other ECGs with which it was presented, in essence, giving a diagnosis.

http://news.stanford.edu/2017/07/06/algorithm-diagnoses-heart-arrhythmias-cardiologist-level-accuracy/

 iRhythm, maker of portable ECG devices

Image Source:

https://www-technologyreview-com.cdn.ampproject.org/c/s/www.technologyreview.com/s/608234/the-machines-are-getting-ready-to-play-doctor/amp/

Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks

We develop an algorithm which exceeds the performance of board certified cardiologists in detecting a wide range of heart arrhythmias from electrocardiograms recorded with a single-lead wearable monitor. We build a dataset with more than 500 times the number of unique patients than previously studied corpora. On this dataset, we train a 34-layer convolutional neural network which maps a sequence of ECG samples to a sequence of rhythm classes. Committees of board-certified cardiologists annotate a gold standard test set on which we compare the performance of our model to that of 6 other individual cardiologists. We exceed the average cardiologist performance in both recall (sensitivity) and precision (positive predictive value).

Subjects: Computer Vision and Pattern Recognition (cs.CV)
Cite as: arXiv:1707.01836 [cs.CV]
(or arXiv:1707.01836v1 [cs.CV] for this version)

Submission history

From: Awni Hannun [view email]
[v1] Thu, 6 Jul 2017 15:42:46 GMT (852kb,D)

SOURCE

Active Learning Applied to Patient-Adaptive Heartbeat Classification

Part of: Advances in Neural Information Processing Systems 23 (NIPS 2010)

[PDF] [BibTeX] [Supplemental]

Authors

Abstract

While clinicians can accurately identify different types of heartbeats in electrocardiograms (ECGs) from different patients, researchers have had limited success in applying supervised machine learning to the same task. The problem is made challenging by the variety of tasks, inter- and intra-patient differences, an often severe class imbalance, and the high cost of getting cardiologists to label data for individual patients. We address these difficulties using active learning to perform patient-adaptive and task-adaptive heartbeat classification. When tested on a benchmark database of cardiologist annotated ECG recordings, our method had considerably better performance than other recently proposed methods on the two primary classification tasks recommended by the Association for the Advancement of Medical Instrumentation. Additionally, our method required over 90% less patient-specific training data than the methods to which we compared it.

SOURCE

Cardiologist-Level Arrhythmia Detection With Convolutional Neural Networks

Pranav Rajpurkar*, Awni Hannun*, Masoumeh Haghpanahi, Codie Bourn, and Andrew Ng

A collaboration between Stanford University and iRhythm Technologies

https://stanfordmlgroup.github.io/projects/ecg/

JULY 6, 2017

Stanford computer scientists develop an algorithm that diagnoses heart arrhythmias with cardiologist-level accuracy

A new deep learning algorithm can diagnose 14 types of heart rhythm defects, called arrhythmias, better than cardiologists. This could speed diagnosis and improve treatment for people in rural locations.

The Machines Are Getting Ready to Play Doctor

An algorithm that spots heart arrhythmia shows how AI will revolutionize medicine—but patients must trust machines with their lives.

by Will Knight,  July 7, 2017

https://www-technologyreview-com.cdn.ampproject.org/c/s/www.technologyreview.com/s/608234/the-machines-are-getting-ready-to-play-doctor/amp/

The Dark Secret at the Heart of AI

No one really knows how the most advanced algorithms do what they do. That could be a problem.

by Will Knight, April 11, 2017

https://www.technologyreview.com/s/604087/the-dark-secret-at-the-heart-of-ai/

 

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What is the history of STEMI? What is the current treatment for Cardiogenic Shock? The Case Study of Detroit Cardiogenic Shock Initiative

Reporter: Aviva Lev-Ari, PhD, RN

 

We present here five videos by Dr. William O’Neill, MD, Medical Director, Center for Structural Heart Disease at Henry Ford Health System, Detroit, MI.

Part 1 to Part 5 cover all aspects of clinical treatment for Cardiogenic Shock as the most advance stage of an Acute MI.

Dr. O’Neill presents a Treatment Model for Cardiogenic Shock that has the potential to be scaled up from a Regional Level in Detroit, MI to a National level including scaling up the Platform for Clinical Trials and Clinical Protocols for improving outcomes.

 

WATCH VIDEO – 

Part 1: History of STEMI

http://mindsofmedicineinaction.henryford.com/videos/detroit-cardiogenic-shock-initiative-part-1-history-of-stemi?utm_source=social&utm_medium=facebook&utm_content=cardiogenic_shock&utm_campaign=hef_7965

WATCH VIDEO

Part 2: New Protocol

http://mindsofmedicineinaction.henryford.com/videos/detroit-cardiogenic-shock-initiative-part-2-new-protocol

WATCH VIDEO

Part 3: Hospitals Joining

http://mindsofmedicineinaction.henryford.com/videos/detroit-cardiogenic-shock-initiative-part-3-hospitals-joining

WATCH VIDEO

Part 4: Collaboration, Results and Next Steps

http://mindsofmedicineinaction.henryford.com/videos/detroit-cardiogenic-shock-initiative-part-4-collaboration-results-and-next-steps

WATCH VIDEO

Part 5: Establishing Regional Programs

http://mindsofmedicineinaction.henryford.com/videos/detroit-cardiogenic-shock-initiative-part-5-establishing-regional-programs

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Tweets by @pharma_BI and @AVIVA1950 at World Medical Innovation Forum – CARDIOVASCULAR • MAY 1-3, 2017, BOSTON, MA

Curator: Aviva Lev-Ari, PhD, RN

 

@pharma_BI

@AVIVA1950

 

All 57 RETWEETS by  World Forum from LPBI’s Twitter.com handles

@pharma_BI

@AVIVA1950

 

https://twitter.com/PartnersWMIF

  

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@Pharma_BI #WMIF17 @AVIVA1950 Medical Devices – Prevention methods, Big data , AI, Heart Failure a role for Government like “CVD Moonshot”

 

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@Pharma_BI @AVIVA1950 #WMIF17 a working artificial heart is more needed than another stent, personalized sensors (diagnostics) reimbursment

 

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@pharma_BI @AVIVA1950 #WMIF17 Monetizing Diagnostics is key no reimbursement for regenerative medicine, biological system vs physical system

 

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@Pharma_BI #WMIF17 Bruce Rosengard: Crowd sourcing future mechanism for funding innovations vs ROI funding, Partnerships Academia/Industry

 

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@pharma_BI @AVIVA1950 #WMIF17 E. Edelman: Ideas start in Academia, Residential teaching is eroding, Industry needs assuming role of Academia

 

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@Pharma_BI #WMIF17 Ronald Tompkins, MD: Regulatory FDA/Bureaucracy needs be non-adversarial relations with Hospitals or Academia or industry

 

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@Pharma_BI @AVIVA1950 #WMIF17 Timothy Ring, CEO, Bard: corporate controlled fund for acquisions rely on Start up community for acquisitions

 

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@Pharma_BI, #WMIF17 Michael Mussallem CEO, Edwards Lifesciences Selling services – heart-lung machine: Perfusion is a product and Service

 

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@Pharma_BI #WMIF17 Lewis Sandy, MD UnitedHealth 30% of care cost is WASTE, eliminate!! Collaborations Pharma Devices: Data Analytics KEY

 

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@Pharma_BI #WMIF17 @AVIVA1950 Jagmeet Singh, MGH Genetic profiling for early detection, Going upstream for the Genetics and the Prevention

 

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@Pharma_BI #WMIF17 Omar Ishrak, PhD CEO, Medtronic Innovations are the essence of Medical Devices development as mission in technology

 

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@Pharma_BI #WMIF17 Omar Ishrak, CEO, Medtronic Training Challenge Surgical Robotic patient comfort of minimal invasive therapy, cost lower

 

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@Pharma_BI #WMIF17 Omar Ishrak, CEO, Medtronic Mitral Valve – platform for new generation of diagnostics ETERNAL: recover fast outcome

 

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@Pharma_BI #WMIF17 Marc Semigran Myokardia Preclinical trials for early insights for Younger patient with cardiomiopaty and older patient

 

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@Pharma_BI #WMIF17 Makoto Suematsu initiative on Dementia, cases of +100 y-o without functional decline in Japan

 

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@Pharma_BI #WMIF17 @AVIVA1950 Makoto Suematsu, collaboration with NIH, Beyond the Border Masanori Aikawa AGING disease indication is novel

 

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@Pharma_BI #WMIF17 Innovations from Japan leveraged in a global corporation, Bayer, Academia and Industry Partnership investment from Bayer

 

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@Pharma_BI #WMIF17 @AVIVA1950 Makoto Suematsu, Pharma’s difficulty to data access the clinical data from Academic Hospitals, gov’t IT invest

 

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@Pharma_BI #WMIF17 Carsten Brunn, Bayer Osaka Innovation Center to facilitate Translational results transfer to Pharma, stem cell initiative

 

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@Pharma_BI @AVIVA1950 #WMIF17 Hiroyuki Kawabata rate of CVD and HTN increased in Japan with aging population, national goal decrease BP

 

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@Pharma_BI @AVIVA1950 #WMIF17 Benjamin Scirica, FDA requires PRAGMATIC TRIAL DESIGN, IDENTIFY DIFFERENT POPULATION FOR EXISTING DRUGS,

 

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@Pharma_BI #WMIF17 Rowe of Edwards Mitral Valve Trans catheter is the direction PATIENT ACCESS – who will benefit devices Improve Patient

 

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@pharma_BI @AVIVA1950 #WMIF17 Cost of failure for AD at Eli Lilly, reduce failure rate, hedge bets to cut losses, investment may be deadend

 

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#WMIF17 @Pharma_BI @AVIVA1950 Offset AD prevent vs delay age of onsett is desirable, Pharma spend $70Billion on R&D, most is D NIH is R

 

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#WMIF17 @pharma_BI, @AVIVA1950, Increase Research at Eli Lilly CEO, medicine will bring value, can’t apologies for drug failure, best time

 

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#WMIF17 @Pharma_BI @AVIVA1950 Stanley Shaw, MD, PhD Realization by physicians that monitoring Patients @Home is a TIME SAVER – tech adopted

 

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#WMIF17 @pharma_BI Stanley Shaw Trusted Sources for Sharing genetic information with Academic Centers: Verily, AstraZeneca, AHA partnership

 

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#WMIF17 @pharma_BI @AVIVA1950 Jonathan Rennert: histories of ECG before cardiac arrest: instruct do not drive, do not be alone at home

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#WMIF17 @pharma_Bi @AVIVA1950 Joe Kvedar, MD Implement technology for quality care, access and lower cost monitoring Patients while @Home

 

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#WMIF17 @Pharma_BI @AVIVA1950 Robert Bradway CEO, Amgen Value of innovation at a price that allows access and lowering cost of care

 

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#WMIF17 @Pharma_BI @AVIVA1950 Robert Bradway CEO, Amgen Cardiologist prescribed the medication for himself 6 month for insurance approval

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@pharma_BI @AVIVA1950 #WMIF17 Norman Stockbridge, MD, PhD Director, Division of CV and Renal Products, FDA: Preserve randomization is key

 

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@pharma_BI @AVIVA1950 #WMIF17 Elisabeth Björk, AstraZeneca asked Norman Stockbridge, FDA – pragmatic design avoid missing data is 12%

 

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@pharma_BI @AVIVA1950 #WMIF17 Scott Wasserman, Amgen, AI will become part of Clinical Trial Design for investigational therapies and others

 

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@pharma_BI @AVIVA1950 #WMIF17 Dean Li, Merck, Arrhythmia: Mutation if down played causes Arrhythmia if Overexpressed causes Arrhythmia

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@pharma_BI @AVIVA1950 #WMIF17 Sean Harper, MD, Amgen in CVD complex traits phynotype more determinative then genotyping vs Oncology,

 

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@pharma_BI @AVIVA1950 #WMIF17 Sean Harper, MD, Amgen Sean Harper, MD Investors:to Biotech – works on Oncology and on Orphan drugs

 

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@pharma_BI @AVIVA1950 #WMIF17 Jean-François Formela, MD Coolest technology: CRISPR one injection reduction of effects in a genetic disease

 

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@pharma_BI @AVIVA1950 #WMIF17 Highlights – LIVE Day 2: World Medical Innovation Forum – https://pharmaceuticalintelligence.com/2017/05/02/highlights-live-day-2-world-medical-innovation-forum-cardiovascular-%e2%80%a2-may-1-3-2017-boston-ma-%e2%80%a2-united-states/ … via @Pharma_BI

 

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@pharma_BI @AVIVA1950 #WMIF17 Ecosystem: Products, Patient Advocacy Groups and Regulators –alignment interaction among agencies: NIH, FDA

 

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@pharma_BI @AVIVA1950 #WMIF17 Investment in Devices looks better vs CVD Drugs, Biologics are different, Nurtaceuticals some are harmful

 

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@pharma_BI @AVIVA1950 #WMIF17 Robert Califf, Precision Medicine is over inflated except in Oncology, “in CVD, I wish to hear from you”

 

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@pharma_BI @AVIVA1950 #WMIF17 Jessica Mega CMO Verily, Real Time monitoring, each Patient has own Portal, monitoring takes major resources

 

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@pharma_BI @AVIVA1950 #WMIF17 Michael Mahoney: Challenges in Emerging Markets: China more regulation India – price very low expensive stent

 

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@pharma_BI @AVIVA1950 #WMIF17 Microelectronics new direction: Endoscopy GI Pulmonary,SPINAL CORD STIMULATION: GU GI (Crohn),Neuromodulation

 

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Aviva Lev-Ari‏ @AVIVA1950  14h14 hours ago

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@pharma_BI @AVIVA1950 #WMIF17 Aarif Khakoo, MD Amgen 1,500,000 stroke Genetics will bring the breakthrough to atherosclerosis

 

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Aviva Lev-Ari‏ @AVIVA1950  14h14 hours ago

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@pharma_BI @AVIVA1950 #WMIF17 Craig Sponseller, Is triglycerides the right focus, Macrophage activation to prevent pathways resistance

 

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Aviva Lev-Ari‏ @AVIVA1950  14h14 hours ago

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@pharma_BI @AVIVA1950 #WMIF17 Aarif Khakoo, MD Amgen Cost is related to FAIL less – target selection is cardinal

 

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Aviva Lev-Ari‏ @AVIVA1950  14h14 hours ago

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@pharma_BI @AVIVA1950 #WMIF17 Clive Meanwell, Phase III needs different questions and more Phase IV needed

 

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Aviva Lev-Ari‏ @AVIVA1950  14h14 hours ago

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@pharma_BI @AVIVA1950 #WMIF17 Campbell Rogers, MD Clinical burden remains: Value for Patient economic value of the outcome of the

 

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Aviva Lev-Ari‏ @AVIVA1950  14h14 hours ago

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@pharma_BI @AVIVA1950 #WMIF17 Campbell Rogers, MD Imaging Efficiency free cost Plaque composition Coronary CT flow implication of stenosis

 

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Aviva Lev-Ari‏ @AVIVA1950  14h14 hours ago

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@pharma_BI @AVIVA1950 #WMIF17 Craig Sponseller, MD Pragmatic Clinical Trial Design: Novel Targets, collaboration of Academia and Industry

 

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Aviva Lev-Ari‏ @AVIVA1950  13h13 hours ago

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@pharma_BI @AVIVA1950 #WMIF17 Gary Gibbons Reinvent Longitudinal Cohort Studies & Genomics sequencing – Concepts of Data Commons Analytics

 

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@pharma_BI @AVIVA1950 #WMIF17 Gary Gibbons 20% investigators take up 50% of the grants squeezing out the bandwidth need younger generation

 

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@pharma_BI @AVIVA1950 #WMIF17 Gary Gibbons, MD Pragmatic optimist in this position, scientists innovate for Patients would do it again

 

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Aviva Lev-Ari‏ @AVIVA1950  11h11 hours ago

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@pharma_BI @AVIVA1950 #WMIF17 Highlights LIVE Day 3: World Medical Innovation Forum – CARDIOVASCULAR https://pharmaceuticalintelligence.com/2017/05/03/highlights-live-day-3-world-medical-innovation-forum-cardiovascular-%e2%80%a2-may-1-3-2017-boston-ma-%e2%80%a2-united-states/ … via @Pharma_BI

 

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@pharma_BI @AVIVA1950 #WMIF17 Disruptive Dozen 1. Quantitative Molecular Imaging for Cardiovascular Phynotypes

 

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  1. Aviva Lev-Ari‏ @AVIVA19503h3 hours ago

 

@pharma_BI @AVIVA1950 #WMIF17 Disruptive Dozen 2. Harnessing Big Data and Deep Learning for Clinical Decision Support

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Highlights LIVE Day 3: World Medical Innovation Forum – CARDIOVASCULAR • MAY 1-3, 2017 BOSTON, MA • UNITED STATES

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  1. Aviva Lev-Ari‏ @AVIVA19503h3 hours ago

Highlights LIVE Day 3: World Medical Innovation Forum – CARDIOVASCULAR • MAY 1-3, 2017 BOSTON, MA •… https://pharmaceuticalintelligence.com/2017/05/03/highlights-live-day-3-world-medical-innovation-forum-cardiovascular-%e2%80%a2-may-1-3-2017-boston-ma-%e2%80%a2-united-states/ … via @Pharma_BI

 

Aviva Lev-Ari‏ @AVIVA1950  22h22 hours ago

 

Highlights – LIVE Day 2: World Medical Innovation Forum – CARDIOVASCULAR • MAY 1-3, 2017 BOSTON, MA… https://pharmaceuticalintelligence.com/2017/05/02/highlights-live-day-2-world-medical-innovation-forum-cardiovascular-%e2%80%a2-may-1-3-2017-boston-ma-%e2%80%a2-united-states/ … via @Pharma_BI

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  1. Aviva Lev-Ari‏ @AVIVA1950May 2

 

#WMIF17 @Pharma_BI @AVIVA Frans van Houten CEO, Philips eICU -measure evolution to forcast 6 hours a deterioration reduction 40% of death

 

  1. Aviva Lev-Ari‏ @AVIVA1950May 2

 

#WMIF @pharma_BI @AVIVA1950 Robert Bradway Future at Amgen: Coming drug is Pharmcogenetics for atherosclerosis

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Robert Bradway CEO, Amgen Pay for benefit, for outcome, no pay if med does not do what it was supposed to do – REFUND patients poor outcome

 

  1. Aviva Lev-Ari‏ @AVIVA1950May 2

 

#WMIF17 @Pharma_BI @AVIVA1950 Robert Bradway CEO, Amgen Cardiologist prescribed the medication for himself 6 month for insurance approval

 

  1. Aviva Lev-Ari‏ @AVIVA1950May 2

 

#WMIF17 @Pharma_BI @AVIVA1950 Robert Bradway CEO, Amgen Value of innovation at a price that allows access and lowering cost of care

 

  1. Aviva Lev-Ari‏ @AVIVA1950May 2

 

#WMIF17 @pharma_Bi @AVIVA1950 Joe Kvedar, MD Implement technology for quality care, access and lower cost monitoring Patients while @Home

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#WMIF17 @pharma_BI @AVIVA1950 Jonathan Rennert: histories of ECG before cardiac arrest: instruct do not drive, do not be alone at home

 

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#WMIF17 @pharma_BI Stanley Shaw Trusted Sources for Sharing genetic information with Academic Centers: Verily, AstraZeneca, AHA partnership

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  1. Aviva Lev-Ari‏ @AVIVA1950 May 2

 

#WMIF17 @Pharma_BI @AVIVA1950 Stanley Shaw, MD, PhD Realization by physicians that monitoring Patients @Home is a TIME SAVER – tech adopted

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  1. Aviva Lev-Ari‏ @AVIVA1950 May 2

 

#WMIF17 @pharma_BI, @AVIVA1950, Increase Research at Eli Lilly CEO, medicine will bring value, can’t apologies for drug failure, best time

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#WMIF17 @Pharma_BI @AVIVA1950 Offset AD prevent vs delay age of onsett is desirable, Pharma spend $70Billion on R&D, most is D NIH is R

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Aviva Lev-Ari‏ @AVIVA1950  May 1

Highlights of LIVE Day 1: World Medical Innovation Forum – CARDIOVASCULAR • MAY 1-3, 2017 BOSTON, M… https://pharmaceuticalintelligence.com/2017/05/01/highlights-of-live-day-1-world-medical-innovation-forum-cardiovascular-%e2%80%a2-may-1-3-2017-boston-ma-%e2%80%a2-united-states/ … via @Pharma_BI

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Highlights LIVE Day 3: World Medical Innovation Forum – CARDIOVASCULAR • MAY 1-3, 2017… https://pharmaceuticalintelligence.com/2017/05/03/highlights-live-day-3-world-medical-innovation-forum-cardiovascular-%e2%80%a2-may-1-3-2017-boston-ma-%e2%80%a2-united-states/ …

 

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Empowering students today to create the world of tomorrow

 

 

 

Highlights of LIVE Day 1: World Medical Innovation Forum – CARDIOVASCULAR • MAY 1-3, 2017 BOSTON, MA • UNITED STATES

 

 

 

Highlights – LIVE Day 2: World Medical Innovation Forum – CARDIOVASCULAR • MAY 1-3, 2017 BOSTON, MA • UNITED STATES

 

 

Highlights – LIVE Day 2: World Medical Innovation Forum – CARDIOVASCULAR • MAY 1-3, 2017… https://pharmaceuticalintelligence.com/2017/05/02/highlights-live-day-2-world-medical-innovation-forum-cardiovascular-%e2%80%a2-may-1-3-2017-boston-ma-%e2%80%a2-united-states …

 

 

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Highlights of LIVE Day 1: World Medical Innovation Forum – CARDIOVASCULAR • MAY 1-3, 2017… https://pharmaceuticalintelligence.com/2017/05/01/highlights-of-live-day-1-world-medical-innovation-forum-cardiovascular-%e2%80%a2-may-1-3-2017-boston-ma-%e2%80%a2-united-states …

 

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@pharma_BI @AVIVA1950 #WMIF17 Disruptive Dozen 1. Quantitative Molecular Imaging for Cardiovascular Phynotypes

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Aviva Lev-Ari @AVIVA1950

@pharma_BI @AVIVA1950 #WMIF17 Disruptive Dozen 2. Harnessing Big Data and Deep Learning for Clinical Decision Support

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Sek Kathiresan MD Retweeted Aviva Lev-Ari

If competition/judging is ‘fair’ process, how is ‘20% taking up 50%’ a problem?

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Aviva Lev-Ari @AVIVA1950

@pharma_BI @AVIVA1950 #WMIF17 Gary Gibbons 20% investigators take up 50% of the grants squeezing out the bandwidth need younger generation

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10h10 hours ago

Aviva Lev-Ari @AVIVA1950

@pharma_BI @AVIVA1950 #WMIF17 Gary Gibbons 20% investigators take up 50% of the grants squeezing out the bandwidth need younger generation

Gabriel M Santibañez liked your reply

 

11h11 hours ago

Aviva Lev-Ari @AVIVA1950

@pharma_BI @AVIVA1950 #WMIF17 Campbell Rogers, MD Imaging Efficiency free cost Plaque composition Coronary CT flow implication of stenosis

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12h12 hours ago

Aviva Lev-Ari @AVIVA1950

@pharma_BI @AVIVA1950 #WMIF17 Aarif Khakoo, MD Amgen 1,500,000 stroke Genetics will bring the breakthrough to atherosclerosis

Bryan Yee Retweeted your reply

 

23h23 hours ago

Aviva Lev-Ari @AVIVA1950

@pharma_BI @AVIVA1950 #WMIF17 Scott Wasserman, Amgen, AI will become part of Clinical Trial Design for investigational therapies and others

 

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May 2

Aviva Lev-Ari @AVIVA1950

@pharma_BI @AVIVA1950 #WMIF17 Scott Wasserman, Amgen, AI will become part of Clinical Trial Design for investigational therapies and others

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May 2

Eric TopolVerified account @EricTopol

A gluten-free diet may not be without hazard http://www.bmj.com/content/357/bmj.j1892 … potential of reduced grain intake & cardiovascular risk @bmj_latest #OA

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‘Creativity is highly valued in all industries’ @virgilabloh #VirgilxRISD

 

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Aviva Lev-Ari @AVIVA1950

@pharma_BI @AVIVA1950 #WMIF17 Highlights – LIVE Day 2: World Medical Innovation Forum – https://pharmaceuticalintelligence.com/2017/05/02/highlights-live-day-2-world-medical-innovation-forum-cardiovascular-%e2%80%a2-may-1-3-2017-boston-ma-%e2%80%a2-united-states/ … via @Pharma_BI

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May 2

Aviva Lev-Ari @AVIVA1950

@pharma_BI @AVIVA1950 #WMIF17 Sean Harper, MD, Amgen Sean Harper, MD Investors:to Biotech – works on Oncology and on Orphan drugs

Michele Carbone liked your reply

 

May 2

Aviva Lev-Ari @AVIVA1950

@pharma_BI @AVIVA1950 #WMIF17 Sean Harper, MD, Amgen in CVD complex traits phynotype more determinative then genotyping vs Oncology,

Pearl Freier liked your reply

 

May 2

Aviva Lev-Ari @AVIVA1950

@Pharma_BI @AVIVA1950 #WMIF17 Benjamin Scirica, FDA requires PRAGMATIC TRIAL DESIGN, IDENTIFY DIFFERENT POPULATION FOR EXISTING DRUGS,

Nicole Volpe Miller liked your reply

 

May 2

Aviva Lev-Ari @AVIVA1950

@Pharma_BI #WMIF17 Omar Ishrak, PhD CEO, Medtronic Innovations are the essence of Medical Devices development as mission in technology

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May 1

Aviva Lev-Ari @AVIVA1950

@Pharma_BI #WMIF17 Marc Semigran Myokardia Preclinical trials for early insights for Younger patient with cardiomiopaty and older patient

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May 1

Aviva Lev-Ari @AVIVA1950

@Pharma_BI #WMIF17 Omar Ishrak, CEO, Medtronic Training Challenge Surgical Robotic patient comfort of minimal invasive therapy, cost lower

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May 1

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May 1

Aviva Lev-Ari @AVIVA1950

@Pharma_BI #WMIF17 @AVIVA1950 Medical Devices – Prevention methods, Big data , AI, Heart Failure a role for Government like “CVD Moonshot”

BrackenData liked your reply

 

May 1

Aviva Lev-Ari @AVIVA1950

@Pharma_BI #WMIF17 Lewis Sandy, MD UnitedHealth 30% of care cost is WASTE, eliminate!! Collaborations Pharma Devices: Data Analytics KEY

Gabriel M Santibañez liked your reply

 

May 1

Aviva Lev-Ari @AVIVA1950

@Pharma_BI #WMIF17 Ronald Tompkins, MD: Regulatory FDA/Bureaucracy needs be non-adversarial relations with Hospitals or Academia or industry

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May 1

Aviva Lev-Ari @AVIVA1950

@Pharma_BI #WMIF17 @AVIVA1950 Medical Devices – Prevention methods, Big data , AI, Heart Failure a role for Government like “CVD Moonshot”

 

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e-Proceedings for Day 1,2,3: World Medical Innovation Forum – CARDIOVASCULAR • MAY 1-3, 2017, BOSTON, MA

Curator and Reporter: Aviva Lev-Ari, PhD, RN

 

https://worldmedicalinnovation.org/agenda/

 

Highlights of LIVE Day 1: World Medical Innovation Forum – CARDIOVASCULAR • MAY 1-3, 2017  BOSTON, MA • UNITED STATES

https://pharmaceuticalintelligence.com/2017/05/01/highlights-of-live-day-1-world-medical-innovation-forum-cardiovascular-%E2%80%A2-may-1-3-2017-boston-ma-%E2%80%A2-united-states/

Highlights – LIVE Day 2: World Medical Innovation Forum – CARDIOVASCULAR • MAY 1-3, 2017 BOSTON, MA • UNITED STATES

https://pharmaceuticalintelligence.com/2017/05/02/highlights-live-day-2-world-medical-innovation-forum-cardiovascular-%E2%80%A2-may-1-3-2017-boston-ma-%E2%80%A2-united-states/

Highlights LIVE Day 3: World Medical Innovation Forum – CARDIOVASCULAR • MAY 1-3, 2017 BOSTON, MA • UNITED STATES

https://pharmaceuticalintelligence.com/2017/05/03/highlights-live-day-3-world-medical-innovation-forum-cardiovascular-%E2%80%A2-may-1-3-2017-boston-ma-%E2%80%A2-united-states/

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