Latest AI and machine learning research in devices and vaccines for healthcare professionals.
Dynamic control in artificial intelligence hardware is increasingly emphasized for the co-integration of learning and computing. However, existing approaches to dynamic mode modulation often require impractical structures or parasitic external signals, which pose significant challenges for realistic implementation. This study presents an α-In2Se3 device with ambipolar transport behavior, achieved ...
The increasing demand for daily health monitoring has accelerated the development of wearable devices. However, conventional wearables, typically based on rigid materials and external fixation methods, suffer from interfacial instability during dynamic motion and heavy sweating, leading to signal distortion and device delamination. Skin-like wearable electronics and in situ fabrication strategies ...
Early recognition of patients at risk for deterioration in the emergency department (ED) is critical for patient safety. Traditional early warning sco...
TB remains a significant global health burden due to protracted therapeutic courses, poor patient compliance, and toxicities associated with drug trea...
Frequent blood testing remains invasive and impractical, hindering real-time health monitoring. Interstitial fluid (ISF) offers a promising alternativ...
To overcome the coming big-data era, significant efforts are needed to implement neuromorphic computing that mimics the functional and structural feat...
Traditional vaccine development faced significant hurdles, including lengthy timelines and high costs, which hindered rapid responses to pathogens. Al...
The 2022 global outbreak of clade IIb mpox represented a turning point in public health's handling of poxviruses. The primary vaccine available for th...
In the ongoing effort to study the SARS-CoV-2 virus and COVID-19 disease, assessment of the T cell immune response has guided vaccine and therapeutic ...
BACKGROUND: Declines in childhood vaccination in the U.S. have contributed to a resurgence of vaccine-preventable diseases, including a notable increa...
OBJECTIVES: To explore the in-depth experiences, psychological conflicts, and coping strategies of young breast cancer patients regarding the Implant-...
In the current digital era, emotional and mental health challenges are becoming very common. Therefore, it is essential to find new and effective ways...
BACKGROUND: Accurate identification of implants in total knee arthroplasty (TKA) is essential for revision arthroplasty but is often complicated by in...
BACKGROUND: Accurate prediction of mortality after percutaneous coronary intervention (PCI) remains a clinical challenge. Existing risk scores often l...
Traditional metrics such as precision, recall, mean Average Precision (mAP), and F-score are widely used to evaluate object detection models. However,...
Human T-lymphotropic virus type 1 (HTLV-1) is the first discovered human oncogenic retrovirus that can cause adult T-cell leukemia/lymphoma, HTLV-1-as...
INTRODUCTION: Currently, there are many diagnostic strategies for in-stent restenosis (ISR) used clinically, including invasive coronary angiography (...
Two vaccines are currently licensed against Plasmodium falciparum malaria but offer only partial protection that wanes, necessitating repeated dosing ...
The design and optimization of advanced semiconductor devices, such as multi gate MOSFETs, play a critical role in the miniaturization process of inte...
Reliable risk assessment for implant-supported restorations in the esthetic zone is critical yet challenging due to complex anatomical variations and ...