Monoclonal antibody (mAb) manufacturing must continually improve to keep up with increasing demands. To do this, biomanufacturers can deploy machine learning tools to augment traditional process ...
A machine learning model using routine lab data at 3 months postdiagnosis accurately predicted mortality or liver transplant risk in autoimmune hepatitis.
Machine learning models using initial neuropsychological and neuropsychiatric clinical data accurately distinguished AD from bvFTD.
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From tango to StarCraft: Creative activities linked to slower brain aging, according to new neuroscience research
Engaging in creative activities such as music, dance, drawing, and even certain types of video games may support healthier ...
An analysis of 5 machine-learning algorithms identified predictors for moderate-to-severe cancer-related fatigue in patients with CRC undergoing chemotherapy.
Wearables, Mobile Health (m-Health), Real-Time Monitoring Share and Cite: Alqarni, A. (2025) Analysis of Decision Support ...
Marine oil spills are among the most severe environmental hazards, threatening aquatic ecosystems, coastal economies, and biodiversity. Traditional detection methods, based on manual observation, ship ...
Explore how artificial intelligence and digital innovations are transforming sludge dewatering in wastewater systems, ...
The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...
LOS ANGELES, Nov. 6, 2025 /PRNewswire/ -- Lunai Bioworks (NASDAQ: LNAI), an AI-powered drug discovery and biodefense company, ...
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