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Machine learning method for determining impact of mutations in the SARS-CoV-2 RBD on binding and antibody escape

Deep mutational learning (DML) is a technique developed by researchers from multiple institutions that combines experimental yeast display screening of RBD mutagenesis libraries with deep sequencing and machine learning.
Lightspring Shutterstock Image Credit Coronavirus Disease Covid 19 Machine Learning Ars Cov 2 Amino Acid

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OSE Immunotherapeutics Presents First Preclinical Efficacy Data on Anti-IL-7 Receptor Antagonist OSE-127 in Acute Lymphoblastic Leukemia

At the 2021 American Society of Hematology (ASH) Annual Meeting Regulatory News: OSE Immunotherapeutics SA (Paris:OSE) (ISIN: FR0012127173; Mnemo: OSE) presented the first preclinical data on
United States Sachsen Anhalt Denis Schewe Guillaume Van Renterghem Lifesci Thomas Guillot Florence Portejoie

Impact of tumor environments on susceptibility and course of disease in those infected with SARS-CoV-2

A review assessed the impact of "hot" vs. "cold" immune/tumor environments (and associated therapies) on susceptibility and disease course in subjects with these two types of tumors and infected with SARS-CoV-2 to decipher the mechanisms that drive these adverse outcomes in COVID-19 infected cancer patients.
Image Credit Coronavirus Disease Covid 19 Ars Cov 2 Cardiovascular Disease Immune Response Lung Cancer

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