Data from Stevens Institute of Technology Advance Knowledge in Machine Learning (Machine Learning Models for Predicting Monoclonal Antibody Biophysical Properti es From Molecular Dynamics Simulations and Deep Learning-based Surface Descripto rs)

Robotics & Machine Learning Daily News2024，Issue(Dec.20) ：52-53.

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Data from Stevens Institute of Technology Advance Knowledge in Machine Learning (Machine Learning Models for Predicting Monoclonal Antibody Biophysical Properti es From Molecular Dynamics Simulations and Deep Learning-based Surface Descripto rs)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Investigators discuss new findings in Machine Lea rning. According to news reporting originating inHoboken, New Jersey, by NewsRx journalists, research stated, “Monoclonal antibodies (mAbs) have foundextensiv e applications and development in treating various diseases. From the pharmaceut ical industry’sperspective, the journey from the design and development of mAbs to clinical testing and large-scaleproduction is a highly time-consuming and r esource-intensive process.”

Key words

Hoboken/New Jersey/United States/Nort h and Central America/Antibodies/Biophysics/Blood Proteins/Cyborgs/Emerging Technologies/Immunoglobulins/Immunology/Immunoproteins/Machine Learning/Mo lecular Dynamics/Monoclonal Antibodies/Monoclonal Antibody/Physics/Proteins/Stevens Institute of Technology

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2024

Robotics & Machine Learning Daily News

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