High-throughput microfluidic systems are widely used in biomedical fields for tasks like
disease detection, drug testing, and material discovery. Despite the great advances in …

Microfluidics is a rapidly growing discipline that involves studying and manipulating fluids at
reduced length scale and volume, typically on the scale of micro-or nanoliters. Under the …

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused an ongoing
coronavirus disease (COVID-19) outbreak and a rising demand for the development of …

In this paper, we explore the transformative potential of deep learning in dental radiology,
focusing on its applications in disease detection, image segmentation, and treatment …

Laboratory medicine provides pivotal medical information through analyses of body fluids
and tissues, and thus, it is essential for diagnosis of diseases as well as monitoring of …

In medical imaging, image synthesis is the estimation process of one image (sequence,
modality) from another image (sequence, modality). Since images with different modalities …

The majority of drugs are typically orally administered. The journey from drug discovery to
approval is often long and expensive, involving multiple stages. A major challenge in the …

Depression, anxiety, and stress are prevalent mental health disorders with profound effects
on individuals and society. Early and accurate predictions of these conditions can …

This paper explores the potential of deep learning in dental radiology, particularly in disease
detection, image segmentation, and treatment planning. CNNs have been successful in …

Schizophrenia is a multifaceted mental disorder with varying levels of proneness, making
accurate classification essential for early intervention and effective management. This study …