Medicolegal

Scalable multiplexed machine learning gas sensor chips for food classification.

Multiplexed gas sensor arrays combined with machine learning have unlocked previously inaccessible applications for scent-based sensing. Current platforms are limited by overlapping sensing materials with similar compositions, leading to highly correlated responses, or multistep deposition processes that hinder scalability. In this work, we developed a 16-element monolithic chip with fully distinc...

Embryo transfer in dairy herds: a comprehensive review of factors affecting pregnancy success from donor to embryo and recipient.

Embryo transfer (ET) is a fundamental biotechnology in modern dairy production, utilized to maximize the propagation of superior genetics and circumvent fertility limitations associated with high milk production. The physiological, environmental, and managerial elements that together determine pregnancy per embryo transfer (P/ET) are systematically analyzed in this paper. In order to increase the ...

Single-cell transcriptomic analysis reveals the T lymphocyte microenvironment and identifies HOPX as a hub gene in membranous nephropathy.

BACKGROUND: Membranous nephropathy (MN) is an autoimmune disease characterized by immune complex deposition and progressive renal function impairment....

Metal-Organic Frameworks for Toxic Gas Sensing: From Molecular Engineering to Device Integration.

In recent years, metal-organic frameworks (MOFs) have emerged as highly promising materials for advanced gas sensing owing to their tunable pore struc...

Operationalizing the Pan-Canadian Health Data Charter Through Common Standards and AI-Enabled Nursing Data.

Principle 4 of the Pan-Canadian Health Data Charter calls for common standards to enable interoperability, access, and portability of health data. Yet...

Spatial distribution of per- and polyfluoroalkyl substances in the Yellow River basin: Role of suspended sediment on the PFAS partition and accumulation.

The widespread occurrence of per- and polyfluoroalkyl substances (PFAS) and emerging substitutes in riverine environments has raised growing concern, ...

The Application of AI in Cancer MDT and its Legal Implication.

There has been mounting pressure on cancer multidisciplinary team (MDT) meetings due to increasing case volumes. Efforts to streamline MDT workflows o...

Challenges for implementation of "Enhanced Recovery After Surgery" (ERAS) protocols and artificial intelligence support tools in resource-limited countries.

Surgical patient safety remains a major challenge in resource-limited settings, where preventable harm may be increased by delayed assessment, limited...

Investigating AD and non-AD [18F]flortaucipir distribution patterns in a memory clinic cohort.

PURPOSE: Amyloid (A) deposition represents a specific pathological hallmark of Alzheimer's disease (AD). Clinical diagnostic protocols frequently rely...

When Care Becomes Digital: Shared Experiences in Psychiatric Nursing-A Phenomenological Study.

AIM: This qualitative study explores how digitalisation primarily through electronic health records and digital documentation systems is experienced b...

Smart Technology, Fragile Hearts: Navigating AI's Challenges and Limitations in Heart Failure Management.

PURPOSE OF REVIEW: This review synthesizes recent progress in applications of artificial intelligence to heart failure care, including phenotyping, ri...

Global ground-level SO2: gap-free mapping and analyses of long-term trends, exposure, and inequality.

Sulfur dioxide (SO2) is a harmful air pollutant and an important precursor of sulfate aerosol and acid deposition, yet global long-term, ground-level ...

Multi-omics body-fluid biomarkers in immunoglobulin a nephropathy: Analytical Validation, standardization, and clinical chemistry translation of diagnostic and prognostic Analytes.

IgA nephropathy (IgAN) is the most prevalent primary glomerulonephritis worldwide. Although optimized supportive therapy is administered to these pati...

Artificial intelligence enables scale, consistency, and rigor in forensic identity inference.

Advances in forensic genomics, which include massively parallel sequencing, dense single nucleotide polymorphism testing, and forensic genetic genealo...

Adapting transformer-based encoder models for automated billing code assignment of current procedural terminology from pathology reports in multi-institutional settings.

Accurate pathology billing is crucial for financial sustainability, process optimization, and regulatory compliance. Current procedural terminology (C...

Data After Death: Post-Mortem Ethics of Burn Patient Records and Images.

Burn care frequently relies on extensive documentation, including graphic photographic images and detailed clinical records. While these materials are...

Ambient Artificial Intelligence Scribes in the Emergency Department: A Scoping Review of Current Evidence.

BACKGROUND: Burnout affects nearly half of physicians in the United States, with emergency physicians (EPs) at particularly high risk. Documentation b...

Association Between Amyloid Deposition and Collagen-to-Elastin Ratio in the Ligamentum Flavum: A Machine Learning Histologic Study in Matched Groups.

BACKGROUND AND OBJECTIVES: Amyloid deposition in the ligamentum flavum (LF) occurs in 25% to 45% of patients with lumbar stenosis (LS). Amyloid-positi...

Bridging the outcome documentation gap in epilepsy surgery: Validating large language model agents for automated Engel and International League Against Epilepsy scoring from clinical notes.

OBJECTIVE: Timely and accurate classification of postepilepsy surgery outcomes using Engel and International League Against Epilepsy (ILAE) scales is ...

From Burden to Balance: Trends in Documentation Workload with Ambient AI Scribe Adoption.

BACKGROUND: Physician burnout, often driven by documentation burden in electronic health records (EHRs), remains a major challenge in clinical care. A...