Infectious Disease

COVID-19

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

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KAISEN: Reproducible Subgroup Fairness Auditing for Clinical Risk Models

Clinical risk models routinely achieve strong aggregate performance while producing materially different error rates across patient subgroups. Audit pipelines have been proposed to catch this, but their components are rarely stress-tested, so it is unclear which parts of an audit can be trusted and under what conditions. We present KAISEN, a five-phase audit pipeline covering subgroup stratificati...

Jul 30 2026 2607.28608v1

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers

Visual generation increasingly requires high-resolution images, long videos, and multimodal context, making the quadratic cost of full attention prohibitive. We introduce Chimera, a hybrid visual diffusion backbone with a principled scaling recipe. Chimera processes text, image, and video tokens in one raster-ordered stream without positional embeddings. It combines Kimi Delta Attention (KDA) for ...

Jul 30 2026 2607.28611v1
FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing

Face anti-spoofing (FAS) is increasingly expected to provide not only bona fide/spoof decisions, but also attack semantics and image-grounded evidence...

Jul 29 2026 2607.26432v1
HERMES: A Hybrid Ensemble for Head-and-Neck Tumor Segmentation, TN Staging, and Recurrence-Free Survival on PET/CT

We present HERMES (Hybrid Ensemble for Radiotherapy-target segmentation, Malignancy staging, and Event-free Survival), a single containerized algorith...

Jul 29 2026 2607.26498v1
BG-REAL: A Public Real-Data Anchored Benchmark for Background Manipulation Detection and Localization

Background manipulation is a practical but under-specified image-forensics setting: the manipulated evidence can sit outside the salient foreground ob...

Jul 28 2026 2607.26232v1
Cross-session generalization in automated behavioral tracking of Galleria mellonella larvae: comparison of classical computer vision, deep learning and generative domain adaptation

Background: Automated behavioral tracking is increasingly used in biological and biomedical research; however, robustness across heterogeneous imaging...

Leak-Free Cross-Validated Stacking with Per-Architecture Calibration for Sand-Boil Segmentation in Earthen Levees

Sand boils, points where water seeping beneath an earthen levee re-emerges at the surface, are early warnings of internal erosion, and deep segmentati...

Jul 28 2026 2607.25367v1
Freq-RemoteVAR: Next-Frequency Autoregressive Modeling for Remote Sensing Change Detection

Remote sensing change detection aims to identify land-cover changes from bi-temporal images. Most existing methods follow a one-shot dense prediction ...

Jul 28 2026 2607.25815v1
LaP-Forensics: Latent-Pixel Consistency Guided Multimodal Reasoning for Deepfake Detection

Recent generative models can produce images with few obvious visual artifacts, weakening detectors and explanations that rely only on surface appearan...

Jul 28 2026 2607.25962v1
Simulation-Trained Deep Learning for Automated Cell-Based HLA Antibody Assay Interpretation in Pre-Transplant Diagnostics

Preformed and de novo antibodies against donor human leukocyte antigen (HLA) antigens remain a major cause of antibody-mediated rejection and graft lo...

Chromatin state shapes site-specific A-to-I RNA editing

Adenosine-to-inosine (A-to-I) RNA editing is a widespread post-transcriptional mechanism that diversifies the transcriptome. While ADAR enzymes cataly...

MetaSplice: an ensemble pathogenicity predictor for intronic splice variants

Splice-altering variants cause an estimated 15-30% of genetic diseases, yet computational tools lose accuracy outside the canonical GT-AG dinucleotide...

Predictive Feature Engineering for Stress Detection using Physiological Signals, A Comparative Study

This paper presents a two-stage pipeline for implicit feature engineering in time series-based physiological stress detection using electrodermal acti...

A Reproducible MFASS Benchmark of Splice-Disruption Predictors Reveals a Shared Exon-Interior Blind Spot

We benchmark four published splicing variant-effect predictors against a multiplexed experi- mental splicing assay. On 27,733 single-nucleotide varian...

An Explainable AI-Driven Classification Framework for Parkinson's Disease Detection via Acoustic Speech Features: A Comparative Machine Learning Study

Parkinsons Disease (PD) is a progressive neurodegenerative disorder which significantly affects motor function, daily coordination and verbal communic...

Beyond the Static Caliper: Dynamical Translocases and the Mathematical Imperative for Single-Molecule Proteomics

The advent of single-molecule nanopore sequencing established a powerful platform for modern genomics by using static biological pores to report the t...

Diagnostic Performance of Fluorescence-Based Rapid On-Site Specimen Evaluation for Helicobacter pylori Antimicrobial Susceptibility Testing Before and After Algorithm Optimization: A Two-Round Comparative Study

Objective This study was designed to evaluate the diagnostic performance of fluorescence-based rapid on-site specimen evaluation (F-ROSE) for antimicr...

Single-cell foundation models predict durable CAR T response despite imperfect cell annotation

CD19 targeted chimeric antigen receptor (CAR) T cell therapy achieves high initial response rates in B cell acute lymphoblastic leukemia (B ALL), yet ...

Decoding Agency-Related Neural States During Human-AI Interaction in Autonomous Driving Using EEG and Deep Learning

The sense of agency, the experience of controlling one's actions and their consequences, is a fundamental component of human interaction with autonomo...

Safety-oriented sidewalk and road segmentation for smartphone-based assistive navigation

Independent sidewalk mobility is essential for blind and visually impaired pedestrians (BVIPs), yet smartphone-based assistive navigation requires per...

Jul 23 2026 2607.21137v1
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