Practice Management

Shared and idiosyncratic coding regimes coexist in macaque IT

Population-level measurements portray object representations in primate inferotemporal cortex (IT) as smooth, low-dimensional, and predictable by deep neural networks (DNNs). However, it remains unclear whether this structured population-level picture is representative of the full diversity of its constituent neurons. Here, we used Neuropixels 2.0 probes to record large populations of well-isolate...

CodonMamba: a foundation model for programmable mRNA coding sequence design

Although mRNA codon language models provide a generalizable framework for biological sequence design, effective CDS design requires both a learned sequence design space that captures biological constraints and context-configurable design preferences. Here we present CodonMamba, a codon language model framework for mRNA prediction and programmable CDS design. Pretrained on large-scale coding-sequen...

MedReaMM: Evaluating Large Multimodal Models on Expert-Level Clinical Diagnostic Synthesis

The application of Large Language Models (LLMs) to diagnostic decision-making has garnered growing interest. However, existing benchmarks largely focu...

TrialCode Agent: LLM-Assisted Clinical Code-Set Construction for Trial Emulation

Objective Translating free-text clinical trial criteria into computable code sets is a valuable standardization practice that is necessary for produci...

Prediction of Heart Failure based on Multimodal Data from MIMIC-IV

Heart failure (HF) affects over 64 million people worldwide and remains a leading cause of cardiovascular mortality. Early identification of patients ...

Retrieval-Augmented Large Language Models for Clinically Aligned Adverse Event Coding in Acute Myeloid Leukemia Clinical Trials

Background: Adverse event (AE) coding is essential for safety monitoring in oncology clinical trials, particularly in acute myeloid leukemia (AML), wh...

Engineering Signals of Human-AI Collaboration in the Agentic Coding Era: A Longitudinal Analysis of 33,228 Pull Requests from vLLM and SGLang with Implications for Biomedical AI Agents and Bioinformatics Pipeline Developmen

The rapid adoption of AI coding assistants and autonomous agentic development systems has coincided with major changes in the pace and structure of op...

Visual Token Codec: Unleashing Spatial Redundancy for ViT Feature Coding

Distributed deployment of large vision foundation models often partitions a ViT backbone and exchanges intermediate token features between computing n...

PGViS: Personal Genome Variant interpretation Score for lung cancer genomes

Inherited lung cancer risk arises from both protein-coding and non-coding germline variants, but the functional non-coding component is largely unchar...

Towards understanding the disease landscape of clinical trials in Germany: Ontology and embedding-based pipelines versus Large Language Models for ICD-10 Harmonization

Background Clinical trials conducted in Germany are registered across multiple registries, including the German Clinical Trials Register (DRKS), Clini...

MetaAMI: A Novel Meta-Learning Approach for Predicting In-Hospital Mortality in Acute Myocardial Infarction

Acute myocardial infarction (AMI) is one of the leading cardiovascular diseases worldwide and remains a major cause of mortality. Early risk predictio...

Domain-Adaptive Deep Joint Source-Channel Coding for Image Classification

Deep joint source--channel coding (Deep JSCC) enables visual semantic transmission by mapping inputs directly to channel symbols and task outputs, but...

Deep Label-Wise Attentive Temporal Convolutional Networks Improve Medical Coding

Medical coding is the task of assigning a set of diagnosis and procedure codes for a hospitalization using recorded notes. It requires aggregating inf...

Evaluative Stance Toward Artificial Intelligence in High-Quartile Medical Journals (2021-2026): Large-Scale LLM-Assisted Computational Content Analysis

Background: Medical-AI publications do more than report technical performance; they also frame AI as beneficial, uncertain, or risky. How this evaluat...

Structured Sparsification of Signal-Transmission Networks Enhances Visual Information Coding

Sensory coding depends on the architecture of cortical neural networks, yet the principles linking network organization to coding performance remain p...

Embodied reinforcement learning in the primate cortico-basal ganglia system

Learning the value of environmental stimuli from reward experience allows animals to make advantageous choices. Existing biological accounts of reinfo...

Plasma Metabolite Associations with Incident Heart Failure with Reduced and Preserved Ejection Fraction

Background: Prior studies on metabolite associations with incident heart failure (HF) used billing code-based definitions and lacked the data on left ...

Speed-dependent place- and time-field shifts do not require explicit temporal coding

Place and time cells are widely thought to provide complementary representations of spatial location and elapsed time in the hippocampus. Recent exper...

Death in People with Down syndrome: Mortality statistics and novel predictors in US Medicaid and Medicare enrolled adults.

People with Down syndrome have higher age-specific mortality rates compared to the general population as well as peers with other intellectual and dev...

Toward a mechanistic understanding of inference in visual cortex and diffusion models

We describe a model of perceptual inference in primary visual cortex (V1) equivalent to a minimal diffusion model whose function can be readily unders...