Prescriptions

Artificial intelligence to automatically identify reverse shoulder arthroplasty implant brands on postoperative radiographs including uncertainty quantification.

BACKGROUND: Identifying the brand of reverse shoulder arthroplasty (rTSA) implanted is key in the postoperative evaluation of patients, a process that can be time-consuming and prone to error. This is particularly relevant when rTSA is considered for shoulders where the implant brand is not available or accessible in the patient record. Identification of the prosthesis model by subjective assessme...

Subgraph Neural Networks Enhanced by Global Similarity for Drug Repositioning.

Drug repositioning is a promising strategy for accelerating drug development and reducing costs by identifying potential indications for existing drugs. Recently, technological advancements have enabled the development of numerous graph convolutional network (GCN)-based methods for drug repositioning. However, many existing methods overlook the distinct roles of nodes within drug-disease associati...

Development of a room temperature phosphorescence methodology to evaluate the interaction of AI-designed peptides with the tumor biomarker 5-hydroxyindoleacetic acid.

Early detection of neuroendocrine tumors (NETs) is crucial for early and effective intervention, thus reducing the likelihood of tumor progression and...

Strengthening Signal Detection in Pharmacovigilance by Using International Nonproprietary Name (INN) Stems.

'Stems', which mark pharmacological relationships between substances, form the backbone of the International Nonproprietary Name (INN) system, develop...

Association between triglyceride-glucose index and depression and the mediating role of hypertension: a cross-sectional study of obese adults.

BACKGROUND: Recent findings indicate a positive correlation between the TyG (triglyceride-glucose) index and the incidence of depression. However, the...

Multi-omics and machine learning framework reveals ABCG2 as a therapeutic target of Eleven Flavored Shenqi Tablets in clear cell renal cell carcinoma.

ETHNOPHARMACOLOGICAL RELEVANCE: Eleven Flavored Shenqi Tablets (EFST) is a classical multi-herbal prescription in traditional Chinese medicine, tradit...

A Scalable and Robust Ensemble Deep Learning Method for Predicting Drug-Target Interactions.

Accurate identification of drug-target interactions (DTIs) is a crucial step in drug discovery. Computational DTI prediction methods can significantly...

Machine Learning to Identify Physician Actions Associated with Patient Experience of Compassion.

BACKGROUND: Physician compassion is associated with improvement in a variety of patient outcomes, but it remains unclear which individual physician be...

PerturbSynX: Deep learning framework for predicting drug combination synergy scores using drug induced gene perturbation data.

Drug synergy prediction plays a vital role in the discovery of effective cancer combination therapies by identifying drug pairs that work better toget...

TK-DDI: Accurate and efficient drug-drug interaction prediction via token encoding.

Accurate prediction of drug-drug interactions (DDIs) is paramount for preventing adverse drug events and ensuring patient safety. While existing compu...

A hybrid decision support system using rule-based and AI methods: the OnCATs knowledge-based framework.

BACKGROUND AND SIGNIFICANCE: Clinical decision support systems (CDSS) can improve evidence-based oncology care, but many rely on opaque AI models that...

Esflurbiprofen exerts a fast-onset antidepressant effect by blocking SERT-nNOS interaction.

Selective serotonin reuptake inhibitors (SSRIs) are characterized by delayed therapeutic onset largely due to their reliance on the desensitization of...

Transistor-like iontronics device based on MXene/Bi 2D heterojunction for human-machine intelligent interaction.

Human-machine intelligent interaction (HMII) technology, which is an advanced iteration of human-machine interaction technology, has garnered widespre...

Health Care Ramifications of Pervasive Direct-to-Consumer Prescription Drug Advertising.

Direct-to-consumer (DTC) advertisements for prescription drugs are an enduring feature of the US media landscape. These ads are costly (>$8 billion ex...

Firearm brand classification using deep learning on cartridge case images.

When a firearm is discharged, it leaves characteristic marks on the cartridge case, which are analyzed in forensic ballistics to identify the firearm....

Accurate fatty liver disease diagnosis with a multi-source feature fusion model on the segmented tongue image dataset.

INTRODUCTION: More than 100 million individuals in rural areas of China are suffered from Fatty Liver Disease (FLD). However, health clinics in remote...

Predicting treatment pathways in Class II malocclusion patients using machine learning: A comparative study of four algorithms for classifying camouflage, growth modulation, and surgical decisions.

OBJECTIVES: The aim of this study was to develop a machine-learning model to assist in treatment decision-making for surgery, camouflage, and growth m...

CEVG-RTNet: A real-time architecture for robust forest fire smoke detection in complex environments.

Forest fire smoke detection is crucial for early warning and emergency management, especially under complex environmental conditions such as low contr...

Probiotics, psychobiotics, and postbiotics: a therapeutic modality for the management of schizophrenia.

Schizophrenia is a debilitating, chronic neuropsychiatric disorder, a multifactorial disorder combining genetic, neurodevelopmental, immunological, an...

Regulating AI in Nursing and Healthcare: Ensuring Safety, Equity, and Accessibility in the Era of Federal Innovation Policy.

The rapid integration of artificial intelligence in healthcare, accelerated by the Trump administration's 2025 AI Action Plan and private sector innov...