Prescriptions

Development and Validation of Machine Learning Models for Predicting Early Cognitive Decline Using Home Sensor-Derived Behavioral Data: Sensors in-Home for Elder Wellbeing (SINEW) Cohort Study.

BACKGROUND: As the global population continues to age, the prevalence of geriatric conditions, including dementia and frailty, is also increasing. Early identification of individuals at an elevated risk of these conditions, such as those presenting with mild cognitive impairment (MCI) or prefrailty, can provide a critical window for prompt intervention aimed at preventing or reversing disease prog...

Reinforcement Learning-Based Sequential Parameter Tuning for Image Signal Processing.

Hardware image signal processing (ISP) transforms RAW inputs into high-quality RGB images through a series of processing modules, each with numerous tunable parameters. Traditionally, these parameters are manually tuned by imaging experts, a time-consuming and subjective process. Recent deep learning approaches predict ISP parameters, but often treat the process as a black box and overlook the int...

Channel Transformer-Based Generative Adversarial Network With Multi-Instance Attention and Nutcracker Optimization for Automatic Seizure Detection Using EEG.

The current literature on automatic seizure detection based on EEG has obtained significant accuracy, but most of them still have difficulties in proc...

Artificial Intelligence in Drug Discovery: Integrative Advances From Data to Therapeutic Innovation.

Integrating artificial intelligence (AI) into drug discovery revolutionizes pharmaceutical research by significantly accelerating the identification, ...

Detection and Classification of Peri-Implant Marginal Bone Loss in Cone-Beam Computed Tomography Using a Deep Learning Approach.

OBJECTIVES: Modern dental implants have high long-term survival, but peri-implant marginal bone loss remains a multifactorial cause of implant failure...

Automated Detection and Risk-Related Behavior Recognition of Long-Tailed Macaques in a University Campus Area Using CNN-Based Object Detection.

BACKGROUND: Increasing interface zones between long-tailed macaques (Macaca fascicularis) and humans can increase macaques' risk-related behaviors to ...

Early Prediction of Hepatic Decompensation in Cirrhosis Using Optimised XGBoost Models at the Initial Outpatient Hepatology Visit.

BACKGROUND AND AIMS: Hepatic decompensation represents a critical transition in cirrhosis, leading to increased morbidity, mortality and healthcare ut...

Efficacy of Automatic 3D Segmentation of the Upper Airway in CBCT or CT Scans via Artificial Intelligence Versus Manual Segmentation by Human Experts: A Systematic Review and Meta-Analysis.

OBJECTIVES: 3D segmentation of the upper airway is crucial for dental and medical practices. However, it is a difficult and daunting task. Like almost...

Young Adults' Needs in Social Robot Assisted Medication Counselling: Applying Peplau's Interpersonal Relations Model.

The integration of robots into healthcare is an advancing field, with potential to enhance patient care, for example in medication counselling. Peplau...

Has AI Reshaped Drug Discovery, or Is There Still a Long Way to Go?

The conventional drug discovery pipeline is labour-intensive, time-consuming, and costly, involving target identification, hit discovery, lead optimiz...

DILIConsult: A Multi-Agent Large Language Model Framework for Evaluating Drug-Induced Liver Injury in ICU Settings.

BACKGROUND: Large language models (LLMs) can support clinical decision-making by parsing databases and extracting relevant information. However, evalu...

A Numerical Approach to Brace Treatment Prediction by Comprehensive Biomechanical Modeling of Adolescent Idiopathic Scoliosis.

Adolescent idiopathic scoliosis (AIS) requires effective and personalized brace treatment strategies to prevent progression and the potential need for...

Blueprint for Drug Repurposing Success: Foundational Concepts and Practical Framework.

Drug repurposing involves identifying new therapeutic applications for existing clinically evaluated compounds. In contrast to conventional drug devel...

AI-driven drug-target interaction prediction: current progress, challenges, and future roadmap for precision medicine.

Drug-target interactions (DTIs) are fundamental to drug discovery, development, and repositioning. However, experimental methods for DTI identificatio...

What's new on the market? Combining internet traces and pretrained language models to recognize emerging drug names.

Posts and comments published by users in online forum discussions provide valuable insights and might contain the earliest traces of new substances em...

Technical challenges and quality considerations for dissolving microneedles.

Dissolving microneedles (DMNs) deliver therapeutic molecules by bypassing the stratum corneum upon skin insertion. While DMNs show potential for trans...

Early Versus Delayed Anticoagulation in Acute Ischaemic Stroke with Atrial Fibrillation According to Infarct Volume and Location: a Prespecified Subgroup Analysis of the OPTIMAS Randomised Controlled Trial.

BackgroundRandomised trials have demonstrated that early anticoagulation after acute atrial fibrillation-associated ischaemic stroke is safe and non-i...

Adaptive Feature Selection With Hierarchical Learning for Drug-Target Interaction Prediction.

Accurate prediction of drug-target interactions (DTIs) is essential for drug discovery and repurposing. Although deep learning has driven substantial ...

Extraction of distant recurrence sites for breast cancer patients from free-text clinical notes using large language models.

OBJECTIVES: Accurate documentation of distant recurrence sites in breast cancer is essential for evaluating treatment effectiveness and outcomes resea...

Evaluating ChatGPT's advice and recommendations regarding exercise for people with inclusion body myositis.

The use of Large Language Models for exercise prescription in the general population has been shown to be safe and effective but not comprehensive com...