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
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
#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
There’s just one problem: no one really knows how the algorithm reaches those scores or what it’s using to measure risk factor. And if miscalculated, it could keep patients from getting the medicine they desperately need. : Sam Cannon 6/10 https://t.co/llyBVbMrbd
Great to see UKI2S-funded @eaglegen selected for @TechNation’s Upscale 5.0 programme! Eagle Genomics are using #machinelearning to help bring #medicines to patients. The programme will help the Company to #accelerate its growth https://bit.ly/2VnO6nZ https://t.co/msvfTA100V
How do we reduce the risk to patients of mixing medicines? In this @TEDMED talk from 2016, @Rbaltman gives an interesting account of his experience using #BigData for signal detection. #polypharmacy #pharmacovigilance http://ow.ly/R9ie50xyyJY
How do we reduce the risk to patients of mixing medicines? In this @TEDMED talk from 2016, @Rbaltman gives an interesting account of his experience using #BigData for signal detection: http://ow.ly/R9ie50xyyJY #polypharmacy #pharmacovigilance https://t.co/wfhMuIJLpr
I talked with Dr. May Wang, #CTO @ZingboxSecurity on how they are using #AI and #MachineLearning to protect patients of connected #medical #IoT devices. Watch now => http://bit.ly/2SfUpFf via @DellTech #Health #HealthTech https://t.co/9ikFCj0lFK
I recently interviewed Dr. May Wang, #CTO @ZingboxSecurity on how they are using #AI and #MachineLearning to protect patients of connected medical #IoT devices. Watch now => http://bit.ly/2SfUpFf via @DellTech #Health #HealthTech https://t.co/w9E73MqJDd
I recently interviewed Dr. May Wang, #CTO @ZingboxSecurity on how they are using #AI and #MachineLearning to protect patients of connected medical #IoT devices. Watch now => http://bit.ly/2SfUpFf via @DellTech #Health #HealthTech https://t.co/eWzAh17cKt
Google is Using 46 Billion Data Points to Predict the Medical Outcomes of Hospital Patients: https://qz.com/1189730/google-is-using-46-billion-data-points-to-predict-the-medical-outcomes-of-hospital-patients/ #Healthcare #BigData #DataScience #AI #MachineLearning #DeepLearning #DataMining #HealthTech #EHR https://t.co/85UYuXlPI3
#Google is using 46 billion #data points to predict the #medical outcomes of hospital patients https://qz.com/1189730 via @qz #AI #MachineLearning #HealthTech #DigitalHealth #EHR #BigData #PatientEngagement HT @evankirstel @JohnNosta https://t.co/tEcRykikbo
Google is using 46 billion data points to predict the medical outcomes of hospital patients @qz #bigdata #AI #health https://qz.com/1189730/google-is-using-46-billion-data-points-to-predict-the-medical-outcomes-of-hospital-patients/
