Latest AI and machine learning research in practice management for healthcare professionals.
The flourishing code hosting platforms and coding agents enable even beginners with private data to build tailored Machine Learning (ML) models using available code quickly. The training data for ML models, often regarded as private property (e.g., clinical records, transaction information), is at significant risk of information leakage. Property Inference Attacks (PIAs), as a significant type of ...
Genomic foundation models such as Evo 2 are increasingly applied to microbial genomics, yet how well their representations capture viral genome organisation, and how reliably they generate viral sequence, remain poorly characterised. We present a reproducible benchmark of Evo 2 on viral genomes. Using a pre-registered RefSeq viral corpus (19,429 genomes, organised by Baltimore class and host domai...
Pediatric electronic health records capture developmentally structured clinical trajectories, yet their potential for generative healthcare foundation...
Many neural recordings have revealed low-dimensional sets of behaviorally relevant variables encoded within large-scale neural activity patterns. Howe...
Abdominal aortic aneurysm (AAA) patients in the ICU represent a heterogeneous, high-risk population with mortality risk evolving across distinct clini...
Compression is fundamental to intelligence. A model that can represent its training data as a short code has discovered regularities that enable gener...
Since the early adoption of metagenomics (the culture-free sequencing of microbial community genomes) in 2011, sequence data has increased over 500-fo...
Recurrent somatic mutations reveal cancer drivers, but in whole genomes many non-coding hotspots are passengers generated by localized mutational proc...
The ability to extract and exploit temporal structure across diverse tasks is central to human cognition. Neuroscientists have typically relied on rec...
Background. Clostridioides difficile infection (CDI) imposes a burden that extends well beyond the gastrointestinal tract, yet existing outcome measur...
The early onset of labour increases mortality and developmental risks for a human newborn. Key genes in human labour have been investigated using mult...
Background Hypercapnia may indicate a primary ventilatory syndrome, a complication of another illness, or an epiphenomenon of severe disease. The pres...
Background: Manual identification and abstraction of out-of-hospital cardiac arrest (OHCA) cases and Utstein template variables from electronic health...
Hierarchical predictive coding provides an interpretable framework for perception as error-driven inference in multi-layer generative models, while sp...
Research on agent memory has matured rapidly, but almost entirely on the text side: few existing benchmarks ask, in an interactive environment, when a...
Spatial transcriptomics remains costly and low-throughput, limiting it to a small fraction of routine histology and leaving the molecular state of dis...
Accurate coding sequence prediction in short prokaryotic metagenomic reads remains challenging due to sequence fragmentation, unknown sequence origins...
Short open reading frames (sORFs) within non-coding RNAs (ncRNAs) have arisen as a hidden layer of gene regulation, encoding small peptides that repre...
Background. Three disease-modifying therapies (DMTs) for spinal muscular atrophy (SMA) have been approved since 2016, yet many adults remain untreated...
Lossless compression and probabilistic sequence modeling are two faces of the same coin: a model that assigns high probability to a sequence can encod...