Medical Technology

Current search: patients new machinelearning

@insitro 1 year ago

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

@insitro 1 year ago

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

@GaleonCare 1 year ago

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

@DIEBO37 3 years ago

More durable prosthetics, medical devices for patients, stronger parts for airplanes, automobiles…could be created through a new 3-D printing #3Dprinting #technology #TechNews #airplanes #Medical #innovation #MachineLearning #materials #Science #GO https://phys.org/news/2020-08-advances-d-capabilities.html

@insitro 3 years ago

Today's financing is key to supporting our efforts to invent new medicines for patients in need through a data-driven approach to drug discovery and development. Learn more about our work in #machinelearning and high-throughput biology at: http://insitro.com https://t.co/toYssv1Wpm

@AstraZeneca 4 years ago

Advances in imaging technology, coupled with #AI and #MachineLearning, are enabling us to learn more about patients, disease and potential new medicines. Read how we’re embedding data science and AI across R&D: http://bit.ly/2NQ0MQf https://t.co/REDxkgKuNd

@stpiindia 6 years ago

#MachineLearning techniques show promise for supporting medical decisions: By quickly assessing risk, new algorithms may help triage patients and inform clinical decisions https://www.sciencedaily.com/releases/2018/02/180228085357.htm