Latest AI and machine learning research in prescriptions for healthcare professionals.
For more than five decades, patients with the same condition have received markedly different care depending on which clinician they happen to see. This unwarranted clinical variation has been documented in nearly every field of medicine, and decades of standardization efforts have not eliminated it. Artificial intelligence (AI) seemed to promise a fix: an algorithm would give the same answer ever...
Wind turbine blades are critical components of wind power systems, and early accurate detection of surface defects is essential for ensuring operational safety. However, automated detection faces significant challenges due to drastic illumination variations, complex background interference, and wide-ranging defect scales in real wind farm environments. This paper proposes RCS-YOLOv8, a multi-modul...
Homologous recombination deficiency (HRD) assays are used to select patients with ovarian cancer for PARP inhibitors, but they do not fully capture th...
Ion channels represent a crucial class of drug targets. Currently, with the structural elucidation of more and more ion channels and the rapid develop...
Many cancer monotherapies demonstrate limited clinical efficacy, making combination therapies a relevant treatment strategy. The extensive number of p...
BACKGROUND: Urinary tract infection (UTI) is among the most common bacterial infections in children and can lead to both acute and chronic complicatio...
INTRODUCTION: The integration of artificial intelligence (AI) into addiction research has expanded rapidly, yet it remains unclear how psychosocial, b...
Just when newer technologies threaten to render them obsolete, small molecule drugs are under way to becoming first-in-class drugs in allergy and immu...
AIMS: This study examined the association of health literacy with quality-of-life outcomes among Jordanian adults with chronic diseases using two pati...
BACKGROUND: Poor adherence to antiretroviral therapy (ART) continues to undermine HIV treatment outcomes in sub-Saharan Africa, including Ghana. OBJEC...
Type 2 diabetes (T2D) is considered as a risk factor of triple-negative breast cancer (TNBC). So, there is a significant chance of their co-existence....
BACKGROUND: Patients' engagement plays a crucial role in the effectiveness of robot-assisted gait training (RAGT), particularly in paediatric neuroreh...
In many robotic applications, such as humanoids, wearable robots or supernumerary limbs, there is a growing shift from rigid, traditional mechanisms t...
BACKGROUND: Outcome prediction after Gamma Knife radiosurgery (GKRS) for vestibular schwannoma remains largely guided by tumor size, Koos grade, basel...
Transdermal drug delivery (TDD) offers a non-invasive method for systemic medication, bypassing first-pass metabolism and allowing controlled release....
BACKGROUND: In contemporary dental practice, implants are the standard solution for edentulism. However, the wide variety of implant brands and the pr...
Early identification of children at risk for persistent asthma is challenging because preschool respiratory symptoms are heterogeneous and often overl...
BACKGROUND: Elderly patients are highly susceptible to drug-drug interaction (DDI)-induced liver injury, yet comprehensive real-world evidence remains...
BACKGROUND: Lung cancer ranks among the most lethal malignancies globally, and its traditional diagnosis suffers from strong subjectivity, high misdia...
AIM: Machine learning (ML) applications in pharmacovigilance remain limited and underexplored. Using data from the French National pharmacovigilance d...