Understanding molecular diversity is fundamental to biomedical research and diagnostics, but existing analytical tools ...
Machine learning, a branch of artificial intelligence, allows a computer to teach itself how to solve problems by analyzing ...
Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, ...
17hon MSN
Geophysical-machine learning tool developed for continuous subsurface geomaterials characterization
Thailand's northern regions, characterized by complex geology and active fault systems, experience frequent landslides that ...
News Medical on MSN
Machine learning advances drug discovery through generalizable models
The drug development pipeline is a costly and lengthy process. Identifying high-quality "hit" compounds-those with high potency, selectivity, and favorable metabolic properties-at the earliest stages ...
When I first realized the scale of the challenge posed by neurodegenerative diseases, such as Alzheimer's, Parkinson's ...
Predictive model accelerates the development of nanoparticles as potential drug carriers for targeting neurodegenerative diseases ...
A canonical finding from earlier research is that the cross-sectional variance of income increases sharply with age Deaton and Paxson (1994). However, the trend in this age profile is not separately ...
This interesting study adapts machine learning tools to analyze movements of a chromatin locus in living cells in response to serum starvation. The machine learning approach developed is useful, the ...
A retrospective study of 3,348 cerebral infarction patients shows machine learning can predict ICU readmission. Logistic ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback