COVID-19

Alterbute: Editing Intrinsic Attributes of Objects in Images

We introduce Alterbute, a diffusion-based method for editing an object's intrinsic attributes in an image. We allow changing color, texture, material, and even the shape of an object, while preserving its perceived identity and scene context. Existing approaches either rely on unsupervised priors that often fail to preserve identity or use overly restrictive supervision that prevents meaningful in...

Suicide- and crisis-risk detection using large language models in mental-health chatbots

ObjectiveLarge language models (LLMs) are increasingly embedded in mental-health chatbots, yet safe deployment is limited by two unresolved challenges: (1) suicide- and crisis-risk detection lacks a definitive ground truth and is characterized by substantial clinician disagreement, and (2) most evaluations frame risk detection as an offline accuracy task rather than a real-time safety problem. Thi...

A genotype-phenotype transformer to assess and explain polygenic risk

Genome-wide association studies have linked millions of genetic variants to biomedical phenotypes, but their utility has been limited by lack of mecha...

HERMES: Holographic Equivariant neuRal network model for Mutational Effect and Stability prediction

Accurately predicting how amino acid substitutions alter protein function is a central challenge in biology, with applications from interpreting disea...

Origin-1: a generative AI platform for de novo antibody design against novel epitopes

0Generative artificial intelligence has advanced antibody discovery, yet de novo design of therapeutic antibodies against targets with "zero-prior" ep...

POWDR: Pathology-preserving Outpainting with Wavelet Diffusion for 3D MRI

Medical imaging datasets often suffer from class imbalance and limited availability of pathology-rich cases, which constrains the performance of machi...

Development of potent humanized TNFα inhibitory nanobodies for therapeutic applications in TNFα-mediated diseases.

Tumor necrosis factor-alpha (TNFα) is a key pro-inflammatory cytokine implicated in the pathogenesis of numerous inflammatory and autoimmune diseases,...

Assessing subvisible particle risks in monoclonal antibodies: insights from quartz crystal microbalance with dissipation, machine learning, and in silico analysis.

Throughout the lifecycle of biopharmaceutical development and manufacturing, monoclonal antibodies (mAbs) are subjected to diverse interfacial stresse...

NABP-LSTM-Att: Nanobody-Antigen binding prediction using bidirectional LSTM and soft attention mechanism.

In vertebrates, antibody-mediated immunity is a vital component of the immune system, and antibodies have become a rapidly expanding class of therapeu...

Lyophilized nasal swabs for COVID-19 detection by ATR-FTIR spectroscopy: Machine learning-based approach.

The COVID-19 pandemic continues to pose challenges for global health. The disease burden and diagnostic pressure has forced scientists to explore alte...

Memory Transmission Based Referring Video Object Segmentation.

Referring Video Object Segmentation (RVOS) addresses the task of segmenting target objects described by textual descriptions from videos. In order to ...

Univariate versus multivariate approaches for resolving the overlapped spectra of azelastine hydrochloride and mometasone furoate.

Azelastine hydrochloride (AZE) and Mometasone furoate (MOM) combination is used to treat allergic rhinitis' symptoms. The aim of this work is to quali...

Multi-positive contrastive learning-based cross-attention model for T cell receptor-antigen binding prediction.

BACKGROUND AND OBJECTIVE: T cells play a vital role in the immune system by recognizing and eliminating infected or cancerous cells, thus driving adap...

Profiling of mangrove forest dynamics in the Fly River delta, Papua New Guinea.

Mangrove forests (MFs), as vital ecosystems in tropical and subtropical coastal regions, play a significant role in the global carbon cycle. However, ...

Exosomal Gene Biomarkers in Osteosarcoma: Mifepristone as a Targeted Therapeutic Revealed by Multi-Omics Analysis.

Osteosarcoma (OS) is an aggressive bone cancer that mainly occurs in children and adolescents. OS patients are mainly treated with neoadjuvant chemoth...

A robust black carbon prediction model derived from observational datasets in the Yangtze River Delta region, China.

Black carbon (BC) is a short-lived pollutant with significant environment and human health impacts. Monitoring BC is important, but its spatial covera...

Compress Any Segment Anything Model (SAM)

Due to the excellent performance in yielding high-quality, zero-shot segmentation, Segment Anything Model (SAM) and its variants have been widely ap...

Cycle Context Verification for In-Context Medical Image Segmentation

In-context learning (ICL) is emerging as a promising technique for achieving universal medical image segmentation, where a variety of objects of int...

Rethinking Query-based Transformer for Continual Image Segmentation

Class-incremental/Continual image segmentation (CIS) aims to train an image segmenter in stages, where the set of available categories differs at ea...

Breast Ultrasound Tumor Generation via Mask Generator and Text-Guided Network:A Clinically Controllable Framework with Downstream Evaluation

The development of robust deep learning models for breast ultrasound (BUS) image analysis is significantly constrained by the scarcity of expert-ann...