Stem Cell Research

Harnessing data science to control non-communicable diseases in Africa: a systematic review and gap analysis.

BACKGROUND: Data science methods can provide novel and pragmatic approaches for preventing and controlling non-communicable diseases (NCDs) in Africa. This study highlights current efforts, opportunities, and challenges in leveraging data science methods to accelerate and advance the prevention and control of NCDs in Africa. METHODS: We undertake a systematic review and gap analysis, as registered...

Machine learning prediction of physician-assigned treatment categories from pre-procedural electronic medical record data in cardiac patients: A multiclass classification study.

Cardiovascular diseases (CVDs) remain a leading source of morbidity, mortality, and healthcare burden worldwide. In patients with coronary artery disease (CAD), choosing among medical therapy, percutaneous coronary intervention (PCI), and coronary artery bypass grafting (CABG) is clinically complex and depends on multiple pre-procedural factors. In this retrospective multicenter registry study, we...

Occupational therapists' use of digital technologies to support people with disabilities in engaging in occupation: a scoping review protocol.

INTRODUCTION: Digital tools such as virtual reality, mobile applications and digital devices are being implemented across various healthcare practice ...

Development of a predictive marker panel for the individualised bDMARD therapy of psoriatic arthritis: protocol for a prospective observational study (Integrate-PsA).

INTRODUCTION: Psoriatic arthritis is a chronic inflammatory disease that can affect the axial skeleton as well as the joints and enthesis. Following t...

Rapid diagnostics innovations for urinary tract infections using molecular biology, artificial intelligence and antimicrobial resistance surveillance: a comprehensive review.

Urinary tract infections (UTIs) are among the most prevalent bacterial infections worldwide, accounting for a major clinical impact due to high recurr...

Clinical Study on the Prevention of High-Risk Pulmonary Nodule Progression With Yifei Sanjie Pill: Protocol for a Multicenter Randomized Controlled Trial.

BACKGROUND: High-risk subsolid pulmonary nodules, especially mixed ground-glass nodules, can represent precancerous or early-stage lung adenocarcinoma...

Knowledge, attitudes, practices and ethics related to artificial intelligence among nursing students: a national cross-sectional survey in China.

BACKGROUND: Artificial intelligence (AI) is rapidly transforming healthcare. Current and future healthcare workforce, including nursing students, requ...

Scientific evidence of commercial artificial intelligence products for pulmonary nodule assessment on CT scans: a systematic review.

OBJECTIVES: This systematic review evaluates the available evidence on the efficacy of commercially available AI-software applications for lung nodule...

Aconitine from Aconiti Lateralis Radix Praeparata (Fuzi) Suppresses Intrahepatic Cholangiocarcinoma via TOP2A: A Study Combining Machine Learning with Functional Validation.

OBJECTIVE: To elucidate the therapeutic potential and mechanisms of Fuzi (Aconiti Lateralis Radix Praeparata) against intrahepatic cholangiocarcinoma ...

Machine learning-guided discovery of withangulatin A as a novel inducer of megakaryocytic differentiation through direct targeting of TYK2 in leukemia.

BACKGROUND: Leukemia is an aggressive hematological malignancy. Effective differentiation-inducing agents for non-acute promyelocytic leukemia (non-AP...

State of Medical Education Research in Anesthesiology: Current Landscape and Future Directions-An Initiative of the Anesthesia Research Council.

BACKGROUND: Without strategic intervention to support medical education research in anesthesiology, the training of future anesthesiologists may be co...

State of Medical Education Research in Anesthesiology: Current Landscape and Future Directions-An Initiative of the Anesthesia Research Council.

BACKGROUND: Without strategic intervention to support medical education research in anesthesiology, the training of future anesthesiologists may be co...

"Old and new" frontiers in embryo viability assessment: Current practices and introduction of emerging approaches.

Reliable assessment of embryo viability remains a critical yet challenging component of assisted reproductive technologies (ART). Traditional methods,...

Metabolomic signatures for diagnosis and clinical severity in Parkinson's disease.

BACKGROUND: Parkinson's disease (PD) remains challenging to diagnose at early stages owing to subtle and heterogeneous clinical manifestations and the...

Individualised treatment effects of corticosteroids in IgA nephropathy.

BACKGROUND: IgA nephropathy (IgAN) has diverse clinical presentations and responses to treatment. For systemic corticosteroids in particular, randomis...

Developmental neurotoxic effects of organophosphate flame retardants (OPFRs) across different life stages and the central role of pioneer transcription factors Neurog2/Ascl1 during the embryonic period.

In contemporary consumer products markets, organophosphorus flame retardants (OPFRs) are widely used, associated with non-carcinogenic health risks an...

Transforming Pulmonary Arterial Hypertension: Key Milestones and Future Perspectives.

Pulmonary arterial hypertension (PAH) is a rare, progressive disease of the precapillary pulmonary arteries, characterized by fibroproliferative vascu...

Invited Commentary: Transforming Occupational Therapy Research With Artificial Intelligence.

Artificial intelligence (AI) in occupational therapy is growing in scope and scale. AI use in occupational therapy practice and education has been exp...

Transcriptomic profiling of exRNA from spent human embryonic-cleavage culture medium reveals potential in embryo quality assessment：a retrospective study.

The exRNA transcriptome of the preimplantation embryo culture medium constitutes a comprehensive profile of embryonic RNAs, offering a non-invasive re...

AI meets sleep surgery: assessing drug-induced sleep endoscopy interpretation with a large language model.

STUDY OBJECTIVES: To evaluate the performance and safety of a large language model in interpreting drug-induced sleep endoscopy (DISE) videos and prov...