DeePFAS, a novel deep-learning model, streamlines large-scale non-targeted screening of "forever chemicals" (PFAS) by ...
The approach, published on 23 October in Science, builds on a trend that is sweeping the field of drug discovery: the use of ...
Cognizant (Nasdaq: CTSH) today announced a breakthrough from its AI Lab that introduces a novel, efficiency-focused method ...
Researchers from Edith Cowan University (ECU) have developed an innovative new way to measure biological age, which could ...
Cellarity, a biotechnology company developing cell state-correcting therapies through integrated multi-omics and AI modeling, ...
Researchers have tested eight stand-alone deep learning methods for PV cell fault detection and have found that their accuracy was as high as 73%. All methods were trained and tested on the ELPV ...
According to the analysis, deep learning architectures such as Long Short-Term Memory (LSTM) networks and hybrid CNN-LSTM ...
Background Coronary artery disease (CAD) is linked to an increased risk of mild cognitive impairment (MCI). Effective and ...
The researchers argue that traditional vaccine development methods, which rely heavily on laboratory experimentation and long ...
The integration of artificial intelligence (AI) into drug discovery is revolutionizing pharmaceutical research by providing sophisticated tools for understanding and predicting complex biological ...
After almost a decade of hands-on workshops and ongoing research, educators share the power of digital storytelling as an approach that makes learning more personal, emotional, and impactful Antonia ...
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