A new machine learning tool called PhysMAP separates the electrical signatures of different cell types, offering a new way to study schizophrenia and depression.
Boston University researchers developed PhysMAP, an AI tool that identifies brain cell types from neural recordings. It ...
The Conversation is an independent and nonprofit source of news, analysis and commentary from academic experts. By Angelica P ...
Your early life may quietly set the stage for developing Type 1 diabetes, an increasingly common, lifelong condition that can ...
When probes are inserted into the brain for research or clinical purposes, the electrical activity of neurons is recorded. These signals can be used to understand how the brain performs certain ...
Qlucore, listed on Nasdaq First North, is launching a new Qlucore Insights test (Research Use Only) specifically developed for bladder cancer samples. The software-based test delivers multiple ...
aNovo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, ...
Mars is the most studied planet in our solar system and for good reasons. Contrary to Mercury or Venus, it could be potentially habitable with the right technology, having an atmosphere and a ...
At AACR, Guardant Health and a Japanese group showcased data on machine learning models that predict the tissue of origin in cancers of unknown primary.
Patients who developed myocarditis within the first month of receiving immune checkpoint inhibitor therapy were more likely to die of myocarditis, and myocarditis-specific fatality was more common in ...
Researchers have unveiled MathNet, the most extensive Olympiad-level math dataset ever compiled, and a separate theoretical study proposing a single mathematical operation, 'eml', capable of ...
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