首页|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)

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)

扫码查看
原文链接
  • NETL
  • NSTL
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.”

HobokenNew JerseyUnited StatesNort h and Central AmericaAntibodiesBiophysicsBlood ProteinsCyborgsEmerging TechnologiesImmunoglobulinsImmunologyImmunoproteinsMachine LearningMo lecular DynamicsMonoclonal AntibodiesMonoclonal AntibodyPhysicsProteinsStevens Institute of Technology

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN：
年,卷(期)：2024.(Dec.20)