Scientists usually study the molecular machinery that controls gene expression from the perspective of a linear, two-dimensional genome—even though DNA and its bound proteins function in three ...
Explore advances in protein imaging techniques and spatial proteomics. Learn how modern imaging tools reveal protein dynamics and organization in cells.
Drug discovery is like molecular Tetris. Chemists snap atoms together, adjusting the pieces until everything fits and suddenly, a molecule makes a promising new medicine. Normally, creating better ...
Rapid advances in artificial intelligence, machine learning, and data-driven computational modeling have opened unprecedented opportunities to transform ...
The arterial vasculature is the second most frequently calcified structure in the human body after the skeleton. Calcification of the aorta and aortic valves occurs in most individuals in westernized ...
Behavioral changes—such as anxiety, depression, irritability, apathy or agitation, collectively known as neuropsychiatric ...
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Machine learning model may provide an earning warning of preeclampsia in late gestation
A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a ...
People's decisions are known to be influenced by past experiences, including the outcomes of earlier choices. For over a century, psychologists have been trying to shed light on the processes ...
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Mapping the evolution of AI in organelle segmentation
In organelle imaging, segmentation aims to accurately delineate pixels or voxels corresponding to target organelles from background, noise, and other cellular structures in microscopy images, thereby ...
Absci (NASDAQ:ABSI) used a presentation at the Leerink Partners Global Healthcare Conference to outline how the company is ...
Criteo (NASDAQ:CRTO) is increasingly positioning itself “as more than an ad tech company,” CEO Michael Komasinski said during a Morgan Stanley conference discussion, describing the business as an ...
This study presents valuable findings for identifying biotypes of depression patients using white matter measures, which are under-utilised and under-appreciated in current biological and ...
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