Latest AI and machine learning research in ethics for healthcare professionals.
Typical nanopore sensing depends on slowed translocation through the pore to acquire effective block...
Applying Natural Language Processing (NLP) to clinical reports is important for automating the analy...
Precise lymph node evaluation is fundamental to optimize CDK4/6 inhibitor therapy in luminal breast ...
To investigate the diagnostic capability of multiple machine learning algorithms combined with intra...
The non-Markovian stochastic Schrödinger equation (NMSSE) offers a promising approach for open quant...
PURPOSE: Predicting the likelihood of benign neoplasia in patients with suspected renal cell carcino...
Lung cancer is the leading cause of cancer mortality among people with HIV (PWH), with increased inc...
BACKGROUND: Fatigue is a prevalent and debilitating symptom of non-communicable diseases (NCDs); how...
In modern healthcare, telemedicine, health records, and AI-driven diagnostics depend on medical imag...
Artificial intelligence (AI) has shown its ability to transform academic writing and publishing. It ...
In this study, the ability of machine learning algorithms to predict tensile properties of both heat...
We have carried out theoretical analysis, Monte Carlo simulations and machine-learning analysis to q...
The ability of students to transfer their knowledge and understanding learned from one context to a ...
Gastroesophageal reflux disease (GERD) is one of the most frequently diagnosed gastrointestinal diso...
Forensic DNA analysis has transformed criminal investigations since its inception in 1985. Over four...
PURPOSE: Lymph node metastasis (LNM) significantly affects prognosis and treatment strategies in non...
Forensic investigation of child homicides presents unique challenges due to the vulnerability of ch...
Artificial intelligence (AI) has emerged in orthopedics with the potential to improve diagnostic acc...
Wheat, a major global cereal crop, is prone to quality degradation from early sprouting when stored ...
In this work, we introduce programmable memory elements embedded within III-V/Si light sources which...
INTRODUCTION: Data-driven omics approaches have rapidly advanced our understanding of the molecular ...