Research Insights
Research Insights section focuses on the cutting-edge and breakthrough research that is happening all over the world. Laboratories across the globe are working hard to develop drugs and therapies for various diseases and research insights directly from them add tremendous value.
Randomization in Clinical Trials With Small Sample Sizes Using Group Sequential Designs
Group sequential designs which allow early stopping for efficacy or futility may benefit from balanced sample sizes at interim and final analyses This requirement for balance limits the choice of admissible randomization procedures
Learning a Deep Language Model for Microbiomes: The Power of Large Scale Unlabeled Microbiome Data
We use open source human gut microbiome data to learn a microbial language model by adapting techniques from Natural Language Processing NLP Our microbial language model is trained in a selfsupervised fashion
Host Centric Drug Repurposing for Viral Diseases
Computational approaches for drug repurposing for viral diseases have mainly focused on a small number of antivirals that directly target pathogens virus centric therapies In this work we combine ideas from collaborative
Spatial Structure Facilitates Evolutionary Rescue by Drug Resistance
Bacterial populations often have complex spatial structures which can impact their evolution Here we study how spatial structure affects the evolution of antibiotic resistance in a bacterial population
Genetic Risk for Neurodegenerative Conditions is Linked to Disease-specific Microglial Pathways
Genomewide association studies have identified thousands of common variants associated with an increased risk of neurodegenerative disorders However the noncoding localization of these variants has made the assignment
An Expandable Synthetic Library of Human Paired Antibody Sequences
The potential diversity in the global repertoire of human antibody sequences is currently not well understood due to the limited existing paired antibody heavylight chain sequence data that has been hindered by the low throughput and high costs of current
Mathematical Modeling Unveils the Timeline of CAR-T Cell Therapy and Macrophage-mediated Cytokine Release Syndrome
Chimeric antigen receptor CART cell therapy holds significant potential for cancer treatment although disease relapse and cytokine release syndrome CRS remain as frequent clinical challenges
Human Genetic Evidence Enriched for Side Effects of Approved Drugs
Safety failures are an important factor in low drug development success rates Human genetic evidence can select drug targets causal in disease and enrich for successful programs Here we sought to determine whether human genetic evidence can also enrich for labeled side effects SEs of approved drugs
Simulation-based Validation of a Method to Detect Changes in SARS-CoV-2 Reinfection Risk
Given the high global seroprevalence of SARSCoV understanding the risk of reinfection has become increasingly important Models developed to track trends in reinfection risk should be robust against possible biases arising from imperfect data
An Integrative Network Approach for Longitudinal Stratification in Parkinson’s Disease
Parkinsons disease PD is a neurodegenerative disorder characterized by motor symptoms resulting from the loss of dopamineproducing neurons in the brain Currently there is no cure for the disease which is in part due to the heterogeneity in patient symptoms
