Infectious Disease

COVID-19

Latest AI and machine learning research in covid-19 for healthcare professionals.

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Showing 3865-3885 of 6,831 articles
PubMind: Literature-Based Genetic Variant Extraction and Functional Annotation Using Large Language Models

The rapid growth of biomedical literature has produced extensive functional knowledge on genetic var...

Neural Activity Dynamics in Primate Cortex Across Consciousness Levels: Insights from High-Density Neuropixel Recording

This study investigates the anesthesia mechanisms induced by sevoflurane and how it modulates neural...

Functional MRI signals as fast as 1Hz are coupled to brain states and predict spontaneous neural activity

fMRI signals were traditionally seen as slow and sampled in the order of seconds, but recent technol...

Generative design of antibody Fc-variants with synthetic and programmable functional profiles

Beyond antigen recognition, antibodies direct diverse immune effector functions through their consta...

Exploring Log-Likelihood Scores for Ranking Antibody Sequence Designs

Generative models trained on antibody sequences and structures have shown great potential in advanci...

Predicting pyrazinamide resistance in Mycobacterium tuberculosis using a graph convolutional network

Pyrazinamide is an important first-line antibiotic for treating tuberculosis and resistance is prima...

A structure and function-based complete mutational map of Human Hemoglobin using AI

Hemoglobin (Hb), a well-characterized protein central to oxygen transport and molecular medicine, se...

CNValidatron: Accurate And Efficient Validation of PennCNV Calls Using Computer Vision

Large rare copy number variants (CNVs) are a main source of genetic variation in the genome and are ...

peleke-1: A Suite of Protein Language Models Fine-Tuned for Targeted Antibody Sequence Generation

The discovery of therapeutic antibodies is a traditionally arduous process. Today, the lab-based pro...

An integrated multi-tissue atlas of epigenomic landscapes and regulatory elements in the bovine genome

Deciphering the regulatory syntax of the genome is essential to understand the genetic and molecular...

Leveraging machine learning and accelerometry to classify animal behaviours with uncertainty

Animal-worn sensors have revolutionised the study of animal behaviour and ecology. Accelerometers, w...

Generating Synthetic MR Perfusion Maps from DWI and FLAIR in Acute Ischemic Stroke using Deep Learning

Magnetic resonance imaging (MRI) is critical for acute stroke triage, but time-consuming, and often ...

Deep Learning-Based Genetic Perturbation Models Do Outperform Uninformative Baselines on Well-Calibrated Metrics

Single cell genetic perturbation modeling involves predicting the effects of unobserved genetic mani...

Benchmarking generative AI tools for literature retrieval and summarization in genomic variant interpretation

Generative AI is increasingly used to extract structured information across domains, but its reliabi...

Adaptive disorder as the hallmark of nanobodies antigen-binding loops

Nanobodies are antigen-binding proteins of great interest as diagnostics and therapeutics. Accurate ...

A comprehensive functional landscape of α-tubulin TUBA1A variants illuminates microtubule biology and refines clinical classification

Missense variant interpretation in highly conserved, paralog-rich gene families remains a critical b...

DeepEmbCas9: Cas9 coevolution and sgRNA structural information for CRISPR-Cas9 cleavage activity prediction

The development of CRISPR-Cas9 cleavage activity prediction tools hinges on data produced from high-...

Circadian and Sleep-Wake Modulation of Functional Connectivity Across Brain Oscillations and States Linked to Cognition in Humans

Sleep and circadian rhythms both contribute to cognitive performance, but the underlying neuronal ne...

Multivariate analysis of glycogenes reveals coordinated regulation of immunoglobulin glycosylation in an immortalized human B cell system

While neutralizing ability has traditionally been considered the most important antibody function, a...

The Impact of Stability Considerations on Genetic Fine-mapping

Fine-mapping methods, which aim to identify genetic variants responsible for complex traits followin...

Feature-Mask-Based Strategies for Subtype-Specific Freezing of Gait Detection using CNNs

Freezing of gait (FOG), a disabling symptom of Parkinson’s disease, varies in manifestations and mot...

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