Infectious Disease

COVID-19

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

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AlgoRxplorers | Precision in Mutation: Enhancing Drug Design with Advanced Protein Stability Prediction Tools

Predicting the impact of single-point amino acid mutations on protein stability is essential for u...

LarvSeg: Exploring Image Classification Data For Large Vocabulary Semantic Segmentation via Category-wise Attentive Classifier

Scaling up the vocabulary of semantic segmentation models is extremely challenging because annotat...

GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing

Multi-modal large language models (MLLMs) have achieved remarkable success in image- and region-le...

Quantum Testing in the Wild: A Case Study with Qiskit Algorithms

Although classical computing has excelled in a wide range of applications, there remain problems t...

Infecting Generative AI With Viruses

This study demonstrates a novel approach to testing the security boundaries of Vision-Large Langua...

Demystification and Near-perfect Estimation of Minimum Gas Limit and Gas Used for Ethereum Smart Contracts

The Ethereum blockchain has a \emph{gas system} that associates operations with a cost in gas unit...

An Efficient Adaptive Compression Method for Human Perception and Machine Vision Tasks

While most existing neural image compression (NIC) and neural video compression (NVC) methodologie...

Comparison of Neural Models for X-ray Image Classification in COVID-19 Detection

This study presents a comparative analysis of methods for detecting COVID-19 infection in radiogra...

Advanced Tutorial: Label-Efficient Two-Sample Tests

Hypothesis testing is a statistical inference approach used to determine whether data supports a s...

Through-The-Mask: Mask-based Motion Trajectories for Image-to-Video Generation

We consider the task of Image-to-Video (I2V) generation, which involves transforming static images...

Ab-VS: Evaluating Large Language Models for Virtual Antibody Screening via Antibody-Antigen Interaction Prediction

We present Ab-VS-Bench, a new benchmark for evaluating large language models (LLMs) on antibody virt...

Brainwide hemodynamics predict EEG neural rhythms across sleep and wakefulness in humans

The brain exhibits rich oscillatory dynamics that play critical roles in vigilance and cognition, su...

Fully functional AAV viral vectors with highly altered structural cores and subunit interfaces using ProteinMPNN

Adeno-associated viruses (AAV) have emerged as a viable vector for gene therapy, with several clinic...

HLAIIPred: Cross-Attention Mechanism for Modeling the Interaction of HLA Class II Molecules with Peptides

We introduce HLAIIPred, a deep learning model to predict peptides presented by class II human leukoc...

Neural and computational evidence for a predictive learning account of the testing effect

Testing enhances memory more than studying. Although numerous studies have demonstrated the robustne...

ANABAG: Annotated Antibody Antigen dataset with unique features for Antibody Engineering Applications

The analysis and prediction of antibody–antigen (Ab–Ag) interactions often overlook critical structu...

Machine Learning-Driven Optimization of Specific, Compact, and Efficient Base Editors via Single-Round Diversification

Cytosine and adenosine base editors show great potential in research and clinical applications. Curr...

Accurate Protein-Protein Interactions Modeling through Physics-informed Geometric Invariant Learning

AlphaFold has set a new standard for predicting protein structures from primary sequences; however, ...

Language models learn to represent antigenic properties of human influenza A(H3) virus

Given that influenza vaccine effectiveness depends on a good antigenic match between the vaccine and...

snATAC-Express infers Gene Expression from Prioritized Chromatin Accessibility Peaks using Machine Learning

Single cell multi-omic investigation opens-up new opportunities to understand mechanisms of gene reg...

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