This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...
Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
Background Amyloid transthyretin (ATTR) amyloidosis is a rare, life-threatening disease frequently manifesting with ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. No ...
Abstract: Randomization PWM parameters in power converters originates a spreading of the emission spectrum, achieving a reduction in the amplitudes of the strong electromagnetic emission peaks ...
The most comprehensive, family-based variant dataset ever published will improve variant classification using AI-based tools MENLO PARK, Calif., Aug. 04, 2025 (GLOBE NEWSWIRE) -- PacBio (NASDAQ: PACB) ...
This study presents a sustainable high-performance liquid chromatography photodiode array detection (HPLC-DAD) method for analyzing polar phenolic compounds in sweet orange (Citrus sinensis) residues.
Accurate line parameters are critical for and dispatch in distribution systems. External operating condition variations affect line parameters, reducing the accuracy of state estimation and power flow ...
Fundamental models are important for design, control, and optimization of chemical systems but often contain many unknown parameters that require estimation from experimental data. Model-based design ...
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