Medical Technology

@H2020MyPal 1 year ago

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

@medical_xpress 1 year ago

Using #machinelearning to derive different causes from the same symptoms @TU_Muenchen @PNASNews https://doi.org/gp72pg https://medicalxpress.com/news/2022-05-machine-derive-symptoms.html

@ACKoongMDPhD 3 years ago

Combination of symptoms and sleep/activity data from wearables gives greatest AUC for predicting #COVID pos or neg in symptomatic population. Future of medicine arriving now. #DataScience https://go.nature.com/3oXtC1Q

@yoncabulutmd 3 years ago

I think this will be the future of medicine Check this conversation by @EricTopol and @cuttingforstone Wearable Tech May Detect #COVID19 Infection Before Symptoms https://www.medscape.com/viewarticle/930775 #PedsICU #machinelearning @timbooth75 @GulsanSucak @areinamo21 @DeannaMarie208 @pccm_doc https://twitter.com/brownam130/status/1312840148078530561

@medical_xpress 4 years ago

#Machinelearning shows no difference in #angina symptoms between men and women @MIT https://medicalxpress.com/news/2019-11-machine-difference-angina-symptoms-men.html

@WIRED 6 years ago

When doctors genome sequenced 50 test patients, they expected to find *maybe* one person with a genetic disease marker. Instead, they found 11.

@WIRED 6 years ago

When doctors genome sequenced 50 test patients, they expected to find *maybe* one person with a genetic disease marker. Instead, they found 11.