Latest AI and machine learning research in alternative medicine for healthcare professionals.
PURPOSE: To evaluate cross-population performance of deep learning models for referable diabetic retinopathy (DR) detection and assess whether inclusion of local data improves robustness in a Turkish external validation setting. METHODS: Global datasets (DDR, IDRiD, Messidor) and a Turkish real-world clinical dataset were used. Images were re-graded by three ophthalmologists and binarized as refer...
Accurate high-throughput evaluation of seed germination under abiotic stress is often hindered by subjective manual scoring and insufficient temporal resolution. This study introduces an integrated phenomics framework leveraging an explainable deep learning model for real-time monitoring of lettuce (Lactuca sativa L.) germination dynamics under salinity stress and nano-silicon priming. Utilizing a...
Structural characterization of natural saponins is highly challenging by tandem mass spectrometry, lacking evidence for differentiating multiple glyco...
Deep learning approaches for cognitive impairment diagnosis have shown considerable promise, but their clinical translation remains limited by poor in...
BACKGROUND: Pediatric rare diseases are highly heterogeneous and are frequently associated with missed or delayed diagnosis, creating substantial burd...
The rapid evolution of artificial intelligence (AI), particularly large language models (LLMs), has renewed interest in their potential role in forens...
INTRODUCTION: The search for actionable genetic targets in cancer has evolved substantially over the past decade. Earlier approaches were focused on s...
Artificial Intelligence (AI) has become a central analytical approach in plant science, supporting prediction, pattern discovery, and integration acro...
BACKGROUND: Tele-oncology addresses geographic barriers to cancer care, but implementation challenges persist in rural settings. AI-enhanced predictiv...
Twenty-four hour ambulatory blood pressure (BP) monitoring (24-hour ABPM) is considered the best out-of-office BP measurement to assess hypertension. ...
Prostate MRI has become a key tool in the detection, localization, and staging of prostate cancer, as well as in active surveillance. Despite its diag...
BACKGROUND: The transition from ductal carcinoma in situ (DCIS) to invasive ductal carcinoma (IDC) is a critical but poorly understood step in breast ...
Lysine β-hydroxybutyrylation (Kbhb) is an emerging post-translational modification regulated by β-hydroxybutyrate (BHB), a key metabolic intermediate ...
ABSTRACT: The morphological evaluation of human blastocysts is a critical yet subjective step in clinical assisted reproductive technology, often limi...
The safety signal assessment process evaluates the potential causal association between a medicinal product and a specific adverse event by integratin...
Odor cues guide animals to food and mates. Different environmental conditions can create differently patterned odor plumes, making navigation more cha...
BACKGROUND: Artificial intelligence (AI)-generated lifestyle recommendations are increasingly used to support health behavior change. However, AI advi...
OBJECTIVES: Systematic literature reviews (SLRs) underpin life sciences research but are resource intensive. Generative artificial intelligence, parti...
Chronic Renal Disease (CRD) is an increasing global health burden, largely driven by the rising prevalence of diabetes and hypertension. Early and acc...
Psychiatric, neurodevelopmental, and neurodegenerative disorders, including Alzheimer's disease (AD), attention-deficit/hyperactivity disorder (ADHD),...