The potential for #AI to predict flares in patients with ulcerative colitis as well or better than pathologists in a multicenter prospective study #IBD
https://t.co/Lw3PYpj2hO @AGA_Gastro by @MariettaIacucci @tommasoparigi and colleagues https://t.co/l7Msqr4ewu— Eric Topol (@EricTopol)
Mar 5, 2023
from http://twitter.com/EricTopol
“Coordinated cancer chaos,” an oxymoron?
What we’ve learned from spatial genomics, #3D reconstruction, and #AI is that cancer tissue is surprisingly spatially organized and patterned
https://t.co/oGzu8J8osu @CellCellPress @vanRheenen_Lab
based on paper below https://t.co/OLhkwp2a8y— Eric Topol (@EricTopol)
Jan 22, 2023
from http://twitter.com/EricTopol
This is not me, but #Midjourney thinks it is. The photo is the image I gave it to riff on. #AI
– beergeek (@beergeek) January 2, 2023
The 2 new retina photo deep learning #AI reports:
For helping to predict heart attack and stroke
https://t.co/9t6h5TuhU9 @BMJ_Ophth
For detection of Alzheimer’s disease
https://t.co/ToskekOEhi @LancetDigitalH https://t.co/0qMMF98oNI— Eric Topol (@EricTopol)
Oct 4, 2022
from http://twitter.com/EricTopol
Using epigenomics (methylation markers) a person’s biologic age can be determined fairly accurately
Now digitizing #brain age is getting attention via imaging #AI
Our new @Lancet Digital Medicine essay
@DavidJonesBrain @NaipMayo
https://t.co/bA6ypagsJC https://t.co/VRAx1Bk8r2— Eric Topol (@EricTopol)
Sep 23, 2022
from http://twitter.com/EricTopol
Pancreatic cancer is difficult to detect early but there are multiple shots on goal, which can be combined, and may change that
Deep learning #AI of scans
https://t.co/W5xHnbTdVf @radiology_rsna
Blood tests for cell-free tumor DNA
https://t.co/e7Fl0F8BDW https://t.co/tNNXpyBZq9— Eric Topol (@EricTopol)
Sep 13, 2022
from http://twitter.com/EricTopol
