Cardiovascular disease (CVD) outcomes and associated risk factors in a medicare population without prior CVD history: an analysis using statistical and #MachineLearning algorithms @LHCHFT @LJMU_Health @LivHPartners @LivuniILCaMS https://link.springer.com/article/10.1007/s11739-023-03297-6 https://t.co/EF1kSYN78v
Super glad to give a lecture @cornell_tech on using #MachineLearning and #EHR #RWD data to understand #LongCovid, covering our latest Nature Communication and Nature Medicine papers https://t.co/6K9CsXPBal
insitro is united by our passion for finding new ways to design & deliver medicines to patients. We’re looking for exceptional people to join us in using #MachineLearning and data at scale to transform drug discovery & development. Learn more at https://insitro.com/careers #AI #ML https://t.co/rF6I4ydkXr
Congratulations to Dr Anna Hake on successfully defending her PhD dissertation titled ‘Predicting and analyzing HIV-1 adaptation to broadly neutralizing antibodies and the host immune system using #MachineLearning’ today in #Saarbrücken! #PhDone #MedicalInformatics https://t.co/mf9nBY4PUK
Our #AI Team (and film crew) in action Peter Munk Cardiac Center AI is now on Twitter at @pmcc_ai! Follow them for the latest advancements in precision medicine in #cardiovascular care using #machinelearning. #WhateverItTakes @drbarryrubin @BoWang87 @SenthujanSenka https://t.co/aeRNIq9FaT
This short #Python code is used for calculating the efficacy of #biologic medicines using t-tests This can be a powerful tool for comparing the effectiveness of different biologics in treating various conditions #datascience #biologics #ttests https://t.co/SSlbk4RNG6
Conformal Prediction opens new frontiers in biotechnology and medicine. "Predicting Endocrine Disruption Using Conformal Prediction – A Prioritization Strategy to Identify Hazardous Chemicals with Confidence" #conformalprediction #machinelearning https://pubs.acs.org/doi/10.1021/acs.chemrestox.2c00267 https://t.co/wd9SHgSWJd
New issue out NOW! Covering precision medicine for type 2 #diabetes; #DeepLearning to monitor neonatal cortical activity; using electronic health records for #DataScience; #bias and inequity in #wearables; and more! https://bit.ly/2XTPpJq https://t.co/PFHv5mrmvh
Doctomatic is a remote patient-monitoring app which, using any medical device from heart-rate monitors to scales, allows doctors to check in on patients with chronic disease. :Gregori Civera https://wired.trib.al/80BpwK6 5/12 https://t.co/PLl8Etgl2V
Using #MachineLearning to identify undiagnosable #cancers -- a new model that maps developmental pathways to tumor cells may unlock the identity of cancers of unknown primary. #Heathcare #MedicalDiagnosis https://news.mit.edu/2022/using-machine-learning-identify-undiagnosable-cancers-0901 https://t.co/4ptktVOHTg
#Python can turn you into a medical doctor So I spent the day analysing data of 70000 patients from a hospital using python and jupyter notebook. Cholesterol and Weight are the 2 big diff between those with/without cardio disease #100DaysOfCode #Coding #DataScience https://t.co/xL1lW6QYUL
