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
We’re 5,000 followers strong! Thanks for joining us as we journey to transform #drugdiscovery through #machinelearning and data at scale to more efficiently get new medicines to patients in need. https://t.co/aR0UgSWrN1
#ClinicalDecisionSupport at the point of care benefits patients and clinicians alike. Hear from @flatironhealth Medical director @aaronbcohen, on how #machinelearning can be used as a tool to support decision making for clinicians. https://t.co/A0j0aajLQ2
🆕COVID-19 🦠in a large cohort of "Inborn Errors of Immunity" / Primary Immunodeficiency patients. - via NYC's Mount Sinai Medical Center 3% overall fatality-rate https://www.frontiersin.org/articles/10.3389/fimmu.2022.1035571/full #bioinformatics #scicomm #openscience #snrtg #datascience #iot #raredisease #immunology https://t.co/pq26puUWOM
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
With AI, personalised medicine is evolving to give new hope to patients with cancer. 🧬 Find out how in this new article available on Galeon Academy : https://loom.ly/X-EuVWQ Like and Share! #galeon #HealthcareBlockchain #galeonacademie #machinelearning #AI https://t.co/IQzTvcgyC7
#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
An interesting study recently published in @PalliativeMedJ looks at the use of #MachineLearning models to detect social distress, spiritual pain as well as severe symptoms in end-of-life #cancer patients using data from medical records. Read more here: https://journals.sagepub.com/doi/full/10.1177/02692163221105595
