Andreas Pfenning discusses the techniques being developed and used to study neuronal heterogeneity and the therapeutic potential of his work.
Although artificial intelligence (AI) has demonstrated potential in automating glaucoma screening, there is still a ...
Using routine clinical data, the model gauges liver cancer risk better than existing tools, offering a potential way to identify high-risk patients missed by current screening criteria.
2don MSN
Turning CO₂ into methanol: Multilayer machine learning speeds up search for better catalysts
Finding high-performing catalysts, which are used to accelerate processes from chemical manufacturing to energy production, ...
2d
A machine learning model may enable liver cancer risk prediction with routine clinical information
A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...
A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient's risk of hepatocellular carcinoma (HCC), the most common ...
1don MSN
Wet lab research and deep machine learning identify a key driver of long-term inflammatory memory
One of the most puzzling aspects of common chronic inflammatory skin diseases such as psoriasis is how they become chronic.
Artificial intelligence has been a prime concern for cybersecurity for years, but it took on a new urgency at this week’s ...
In Precision Medicine Market To Attain USD 10.32 Billion By 2032, Witnessing A CAGR Of 31.35%, Says Markntel Advisors. NEW DELHI, March 25, 2026 /PRNewswire/ -- According to the in-depth study ...
Mood disorders represent a major global burden and are characterized by substantial heterogeneity in symptom profiles, treatment response, and clinical ...
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