Latest AI and machine learning research in devices and vaccines for healthcare professionals.
Kounis syndrome-acute coronary events triggered by allergic or hypersensitivity reactions-remains underrecognized across emergency and cardiology settings. Its heterogeneous presentation and overlapping mechanisms (vasospasm, plaque erosion/rupture, stent thrombosis) challenge timely diagnosis and tailored therapy.This review synthesizes contemporary evidence on pathophysiology, clinical spectrum,...
Ureteral stents, introduced in 1960s, are essential for managing upper urinary tract pathologies, maintaining ureteral patency in conditions like obstruction, trauma and post-surgery. However, stent-related symptoms (SRS) including pain, dysuria, and urinary frequency, remain a significant clinical challenge. Advances in stent design, biomaterials, drug-eluting catheters and biodegradable options ...
Field-effect transistor (FET)-based biosensors are promising tools for early infectious-disease detection; however, their real-world deployment is lim...
BACKGROUND: Short birth interval is an important reproductive health concern in low- and middle-income countries, including Bangladesh, as it may have...
Gas sensors are prone to ageing, environmental fluctuations, and device-to-device variability during long-term deployment. The resulting sensor drift ...
With the advancement of artificial intelligence, the emulation of biological neural processes through neuromorphic computing has gained significant at...
OBJECTIVE: The diagnosis of Sleep Apnea-Hypopnea Syndrome (SAHS) holds significant importance for assessing sleep quality and treating sleep disorders...
Vaccination is a highly efficient strategy in controlling infections. Aluminum-containing adjuvants have long been used to enhance immunogenicity, but...
Chronic liver disease (CLD) and subsequent liver cirrhosis (LC) are common causes of death and healthcare-related socio-economical costs worldwide. Ul...
As Moore's law approaches its limit, there is an urgent need for alternative computing architectures capable of meeting rapidly growing data-processin...
INTRODUCTION AND AIMS: To develop and validate an AI-automated system for dental charting that accounts for multiple radiograph types and younger pati...
RATIONALE AND OBJECTIVES: Human papillomavirus (HPV) status is a critical biomarker for treatment planning and patient management in oropharyngeal can...
BACKGROUND: Artificial intelligence-enhanced electrocardiography (AI-ECG) for detecting atrial fibrillation (AF) using sinus rhythm ECGs has shown pro...
Developing an effective malaria vaccine is challenging because Plasmodium parasites use complex strategies to invade host cells. The blood stage, wher...
Smartphone-based biosensing has rapidly evolved into a practical route for decentralized bacterial detection, enabled by advances in miniaturized opti...
Deep mutational scanning (DMS) has been extensively used to investigate how single-position mutations in the receptor-binding domain (RBD) affect bind...
Antibodies are central mediators of the adaptive immune response, and they are powerful research tools and therapeutics. Antibody discovery requires s...
BACKGROUND: Young patients with acute coronary syndrome (ACS) exhibit diverse demographic, clinical and angiographic characteristics. We hypothesized ...
BACKGROUND: The infection of high-risk human papillomavirus (hr-HPV) and related cervical cancer have greatly threatened women's health. However, the ...
PURPOSE: The purpose of this evaluation study was to assess the performance of ChatGPT-5, Google Gemini (v2.5), and Microsoft Copilot in identifying f...