Tweets for AI and Machine Learning in Clinical Trials April 12th, 2018 hosted at Pfizer’s Innovation Research Lab in Cambridge, MA @AVIVA1950 @pharma_BI
Curator: Aviva Lev-Ari, PhD, RN
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#AIMLClinicalTrials@Aviva1950@pharma_BI#Pfizer#Merck#Sanofi#AstraZeneca#Novartis#Takeda#BMS#Biogen#GSK#MIT#Medable#Saama#RapidMiner@JyotiSHah, Patients Centers will dictate the pace of AI adoption, they own the Data -
#AIMLClinicalTrials@Aviva1950@pharma_BI#Pfizer#Merck#Sanofi#AstraZeneca#Novartis#Takeda#BMS#Biogen#GSK#MIT#Medable#Saama#RapidMiner@jonasDorn Cleaning data must be done before modeling. AI will not change the World as fast, Future of AI will move slowly -
#Pfizer#Merck#Sanofi#AstraZeneca#Novartis#Takeda#BMS#Biogen#GSK#MIT#Medable#Saama#RapidMiner@RajBandaru advises to use models that will signal noise out vs cleaning data upfront as an endless task -
#AIMLClinicalTrials@AVIVA1950@Pharma_BI@RonaldDorenbos adoption of digital health and AI are growing as Virtual Clinical Trials#Pfizer#Merck#Sanofi#AstraZeneca#Novartis#Takeda#BMS#Biogen#GSK#MIT#Medable#Saama#RapidMiner -
#AIMLClinicalTrials#AI &#Machine Learning in Clinical Trials, APRIL 12, 2018 PFIZER INNOVATION RESEARCH LAB – CAMBRIDGE, MA https://pharmaceuticalintelligence.com/2018/04/02/ai-machine-learning-in-clinical-trials-april-12-2018-pfizer-innovation-research-lab-cambridge-ma/ … via@Pharma_BI -
#AIMLClinicalTrials@AVIVA1950@Pharma_BI#Pfizer#Merck#Sanofi#AstraZeneca#Novartis#Takeda#BMS#Biogen#GSK#MIT @ReginaBarzilay Reducing Over-treatment – 87% excision are of benign tissue 31% cancers were visible a year prior to cancer#Medable#Saama#RapidMiner -
#AIMLClinicalTrials@AVIVA1950@Pharma_BI#Pfizer#Merck#Sanofi#AstraZeneca#Novartis#Takeda#BMS#Biogen#GSK#MIT#Medable#Saama#RapidMiner@ChrisEconomos PhysIQ Phase 3 CVD CT All Causes vs HF Hospitalization AI to data detection of exacerbation -
#AIMLClinicalTrials@AVIVA1950@Pharma_BI#Pfizer#Merck#Sanofi@RajBandaru GOAL: develop a classifier that predicts data class and relevnce to the question being asked#AstraZeneca#Novartis#Takeda#BMS#Biogen#GSK#MIT#Medable#Saama#RapidMiner -
#AIMLClinicalTrials@AVIVA1950@Pharma_BI#Pfizer#Merck#Sanofi@RajBandaru Probabilistic model self learning, meta data mgm, LOW of no IT support, cost a fraction of data integration projects#AstraZeneca#Novartis#Takeda#BMS#Biogen#GSK#MIT#Medable#Saama#RapidMiner -
#AIMLClinicalTrials@AVIVA1950@Pharma_BI#Pfizer#Merck#Sanofi Raj Bandaru Crawler – Bayesian machine learning – >> data Catalog (Index) Meta Data Elastic Data Ontologies and Access Management#AstraZeneca#Novartis#Takeda#BMS#Biogen#GSK#MIT#Medable#Saama#RapidMiner -
#AIMLClinicalTrials@AVIVA1950@Pharma_BI#Pfizer#Merck#Sanofi#AstraZeneca#Novartis Jonas Dorn, Create consistent score through comparisons Comparison-based enable virtual rating#Takeda#BMS#Biogen#GSK#MIT#Medable#Saama#RapidMiner -
#AIMLClinicalTrials@AVIVA1950@Pharma_BI@Saama conversation over natural channels Identify intent and entity Need for NLU engine !!!!! Intent extractor Entity Extractor (CX)#Pfizer#Merck#Sanofi#AstraZeneca#Novartis#Takeda#BMS#Biogen#GSK#MIT#Medable#Saama#RapidMiner -
#AIMLClinicalTrials@AVIVA1950@Pharma_BI Shyamal Patel#Pfizer Evaluating AI driven Digital Biomarkers: Accuracy – Speed, Explainability, Scalability#Merck#Sanofi#AstraZeneca#Novartis#Takeda#BMS#Biogen#GSK#MIT#Medable#Saama#RapidMiner -
#AIMLClinicalTrials@AVIVA1950@Pharma_BI#Pfizer Shyamal Patel# Pfizer achieve reduction in false positive rate, strong agreement with ratings provided by trained clinical raters#Sanofi#AstraZeneca#Novartis#Takeda#BMS#Merck#Biogen#GSK#MIT#Medable#Saama#RapidMiner -
#AIMLClinicalTrials@AVIVA1950@Pharma_BI MEDABLE: Signature of Digitome AI platform Neural Networks (NN) ‘pattern’ to allow Train Multiple NN, Visualization Cerebrum Demo#Pfizer#Merck#Sanofi#AstraZeneca#Novartis#Takeda#BMS#Biogen#GSK#MIT#Medable#Saama#RapidMiner -
#AIMLClinicalTrials@AVIVA1950@Pharma_BI#Pfizer#Merck#Sanofi#AstraZeneca Dutta Device Brands Price to Consumer: ZephyrBioPatch, Garmin Vivosmart, MS Band 2, GoBe, HealthPatch MD, BodyGardian, BioPatch#Novartis#Takeda#BMS#Biogen#GSK#MIT#Medable#Saama#RapidMiner -
#AIMLClinicalTrials@AVIVA1950@Pharma_BI#Pfizer#Merck#Sanofi#AstraZeneca Digital-solutions Lifecycle: Pharma perspective: iPREDICT – individualize PREdiction of DIsease Control digital sensor Technology#Novartis#Takeda#BMS#Biogen#GSK#MIT#Medable#Saama#RapidMiner -
#AIMLClinicalTrials@AVIVA1950@Pharma_BI#Pfizer Robert “Joe” Mather, Pfizer advocates Data sharing across the organizationHow the audience feel about sharing code not only data#Merck#Sanofi#AstraZeneca#Novartis#Takeda#BMS#Biogen#GSK#MIT#Medable#Saama#RapidMiner -
#AIMLClinicalTrials@AVIVA1950@Pharma_BI#Pfizer#Merck#Sanofi#AstraZeneca Bhaskar Dutta 80%-90% cleaning data for holistic data view integration w/Privacy developing virtual Clinical Trials#Novartis#Takeda#BMS#Biogen#GSK#MIT#Medable#Saama#RapidMiner -
#AIMLClinicalTrials@AVIVA1950@Pharma_BI#Pfizer#Merck#Sanofi#AstraZeneca#Novartis#Takeda#BMS#Biogen#GSK#MIT#Medable#Saama#RapidMiner Joseph Lehar, Oncology – cell images complex , Pathology is assisted by AI cell classification biggest opportunity in Immunology -
#AIMLClinicalTrials@AVIVA1950@Pharma_BI#Pfizer#Merck#Sanofi#AstraZeneca – Bhaskar Dutta Structure exploration signals in 1st used in 2nd study there is resistance to acceptance of AI $ ML small scale 1st#Novartis#Takeda#BMS#Biogen#GSK#MIT#Medable#Saama#RapidMiner
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