@zdnet.com 4 months ago
Can ChatGPT predict the future? Training AI to figure out what happens next
@newsbtc.com 1 year ago
A unique collection of NFTs will help in the fight against the consequences of a stroke – how a resident of Tomsk has created a revolutionary project in the field of rehabilitative medicine
@WIRED 1 year ago
What's the must-have gear for going out this summer? Narcan! 2021 set a grim record with over 100,000 fatalities due to drug overdoses. As the weather warms and events return, it's more important than ever to carry potentially life-saving medications. : Getty https://t.co/0v296uHwT0
@zdnet.com 2 years ago
Every company is in the business of health
@AlexJohnLondon 3 years ago
So many uses of #ai in #medicine rest on presumptions like the ones in this case—that alerts about impending medical events will produce improvements in care. Uncertainty about these claims warrants more #RCTs like this #medicalAI #AIMedicine #BigData #researchEthics https://twitter.com/fperrywilson/status/1351543063462752263
@georgeinstitute 3 years ago
.@georgeinstitute researchers led by @acampain will use #BigData to help identify and support #heartattack survivors least likely to adhere to medication, reducing their risk of future events. Read more: http://bit.ly/3pL4BGx https://t.co/KDSmENtuRK
@slashgear.com 4 years ago
CDC suggests postponing mass events until mid-May
@domingomarzal 4 years ago
Many years enjoying impressive cardiovascular medicine events as #AHA19 and every day is more tangible & real healthcare #DigitalTransformation Joint session @AHAMeetings and World Economic Forum @Davos talking about #BigData #ArtificialIntelligence and #blockchain to add value https://t.co/XZsBdqZ4RF
@georgemias 4 years ago
Come see our poster 504w at the #ASHG2019 on detecting adverse medical events for #astronauts in deep space missions using longitudinal multi Omics and saliva. Supported by TRISH @BCMSpaceHealth through @NASA . #omics #spaceHealth #DataScience https://t.co/u2mXv2E34q
@AriErcole 4 years ago
Looking forward to it! Looking at #MachineLearning to better understand adverse events in high risk patients & working with the other #NHSDigitalFellows to promote and develop digital medicine in the NHS. @CUH_NHS @EricTopol @NHS_HealthEdEng @Cambridge_Uni @magdalenealumni https://twitter.com/NHS_HealthEdEng/status/1173870066141736961