Predicting the effects of multiple mutations on protein function is challenging due to the intricate interplay between residues. Machine learning has advanced these efforts, but traditional neural ...

Abstract: Radiological imaging has been a game changer for the diagnosis and treatment of various medical conditions, especially when paired with machine learning. However, the challenge of obtaining ...

Abstract: A deep learning-driven approach is advanced by researchers in order to increase energy conversion rate and energy efficiencies in environments of smart grids. The proposed system includes ...

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A lawmaker is introducing a bill named for Artemis Ghasemzadeh, an Iranian Christian convert, that seeks to stop the expedited removal of people fleeing countries that persecute religious minorities.

aArtificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, MA, USA bDepartment of Radiation Oncology, Brigham and Women’s Hospital, Dana-Farber Cancer ...

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The application of deep learning algorithms in protein structure prediction has greatly influenced drug discovery and development. Accurate protein structures are crucial for understanding biological ...

Key Laboratory of Optical Technology and Instrument for Medicine, Ministry of Education, University of Shanghai for Science and Technology, Shanghai 200093, China ...

Deep learning (DL), a subfield of artificial intelligence (AI), involves the development of algorithms and models that simulate the problem-solving capabilities of the human mind. Sophisticated AI ...