News

Machine learning method improves accuracy of inverse protein folding for drug design
An AI approach developed by researchers from the University of Sheffield and AstraZeneca, could make it easier to design ...
Enhancing molecular machine learning with quantum-chemical insight
Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization ...
Harvard Business School4y
Assessing Prediction Accuracy of Machine Learning Models
Toffel, Michael W., Natalie Epstein, Kris Ferreira, and Yael Grushka-Cockayne. "Assessing Prediction Accuracy of Machine Learning Models." Harvard Business School Technical Note 621-045, August 2020. ...
Healio2y
Machine learning model accurately estimates PHQ-9 scores from clinical notes
MIAMI BEACH, Fla. — A novel machine learning model accurately estimated scores from a depression questionnaire from complete and partial clinical notes, per a poster at the American Society of ...
Forbes6y
Google's Artificial Intelligence And Machine Learning Research Priorities: Freelancers, Take Note
I write about the freelance revolution and the future workforce. Without doubt, artificial intelligence and machine learning are major areas of innovation for the greater tech community.
The New England Journal of Medicine6y
Machine Learning in Medicine
6 Yet, this is the promise of machine learning in medicine: the wisdom contained in the decisions made by nearly all clinicians and the outcomes of billions of patients should inform the care of ...
Harvard Business School10mon
Mitigating Climate Change with Machine Learning
Toffel, Michael W., Kelsey Carter, Amy Chambers, Avery Park, and Susan Pinckney. "Mitigating Climate Change with Machine Learning." Harvard Business School Background Note 625-014, August 2024.