Latest AI and machine learning research in universal precautions for healthcare professionals.
Multi-modal large language models (MLLMs) have achieved remarkable success in image- and region-level remote sensing (RS) image understanding tasks, such as image captioning, visual question answering, and visual grounding. However, existing RS MLLMs lack the pixel-level dialogue capability, which involves responding to user instructions with segmentation masks for specific instances. In this pa...
This study presents a dual investigation of Salmonella enterica subspecies I, focusing on serovar prediction and core genome characteristics. We utilized two large genomic datasets (panX and NCBI Pathogen Detection) to test machine learning methods for predicting Salmonella serovars based on genomic differences. Among the four tested algorithms, the Random Forest model demonstrated higher performa...
Foreground segmentation is a fundamental task in computer vision, encompassing various subdivision tasks. Previous research has typically designed t...
We consider the task of Image-to-Video (I2V) generation, which involves transforming static images into realistic video sequences based on a textual...
We pretrain METAGENE-1, a 7-billion-parameter autoregressive transformer model, which we refer to as a metagenomic foundation model, on a novel corp...
The ability to differentiate between viable and dead microorganisms in metagenomic data is crucial for various microbial inferences, ranging from asse...
Compiling and characterising the diversity of bacterial pathogens of humans is a critical challenge to tackle infection risk, especially in the contex...
Eukaryotes detect biomolecules through surface-localized receptors, key signaling components. A subset of receptors survey for pathogens, induce immun...
The escalating crisis of antibiotic resistance underscores the urgent need for innovative anti-infective agents, such as antimicrobial peptides (AMPs)...
Computational tools are frequently used to describe pathogen evolutionary dynamics either within infected hosts or at the population level. However, t...
Since ancient hepatitis B virus (HBV) sequencing data are scarce and incomplete, the evolutionary dynamics of HBV have long remained enigmatic. This d...
Given that influenza vaccine effectiveness depends on a good antigenic match between the vaccine and circulating viruses, it is important to assess th...
Antimicrobial resistance (AMR) is a significant global health threat. Recent studies have shown that combining MALDI-TOF mass spectrometry with machin...
Understanding conformational dynamics is essential for elucidating protein function, yet most deep learning models in structural biology predict only ...
Africa’s diverse pathogen and human genetics present significant opportunities for genomic medicine research using artificial intelligence (AI). We su...
RNA language models have achieved strong performances across diverse down-stream tasks by leveraging large-scale sequence data. However, RNA function ...
Gram-negative bacteria utilize a series of secretion systems (T1SS-T10SS) to deliver secreted effector proteins (T1SE-T10SE) into host cells, leading ...
Metabolic dysfunction–associated steatotic liver disease (MASLD) often coexists with chronic hepatitis B (CHB), yet early diagnosis remains challengin...
Broadly neutralizing antibodies (bNAbs) that target the envelope glycoprotein (Env) of human immunodeficiency virus-1 (HIV-1) have been utilized in cl...
Hepatitis B virus (HBV) infection causes approximately one million deaths annually and remains a major driver of hepatocellular carcinoma. Despite its...