Latest AI and machine learning research in fda general for healthcare professionals.
BACKGROUND: Sjögren's syndrome (SS) is a chronic autoimmune disorder characterized by significant di...
This study aims to develop a machine learning model capable of predicting the type of non-compliance...
The rapid expansion of molecularly informed therapies in oncology, coupled with evolving regulatory ...
The exposed subsea pipelines are prone to damage and rupture, increasing the risk of marine pollutio...
BACKGROUND: Emotional intelligence (EI) is a critical determinant of children's socio-emotional and ...
Over the last couple of decades, tremendous progress has been made in legume genomics. Genomics info...
OBJECTIVE: To identify key predictors of Fear of Happiness (FOH) by examining 22 psychological and d...
This systematic literature review examines artificial intelligence applications in ovarian cancer de...
BACKGROUND: Pulmonary hypertension (PH) carries a significant mortality risk, highlighting the need ...
Three-dimensional, self-organizing structures derived from stem cells, known as organoids, represent...
Chronic pain is highly prevalent in patients with spinal cord injury (SCI) and further degrades the ...
Maintaining the postharvest quality of high-value fruits during storage and transportation remains a...
Understanding how land-use change alters the flow of ecosystem services is critical for sustainabili...
Artificial intelligence (AI) is reshaping population screening, yet the translation from laboratory ...
Baijiu aroma is governed by a small number of odor-active compounds present at trace or ultra-trace ...
Understanding the drivers of well-being from longitudinal behavioural data is a fundamental challeng...
INTRODUCTION: The high-fat diet (HFD) has complex health implications, shaped by the composition of ...
Sepsis, a life-threatening systemic inflammatory syndrome, remains a leading cause of global mortali...
Fruit-like aroma compounds play a crucial role in the sensory quality of food and are commonly utili...
PURPOSE: Recent advances in multimodal large language models (LLMs) have demonstrated promising pote...
Cone-beam computed tomography (CBCT) enables real-time three-dimensional imaging for patients, which...