Latest AI and machine learning research in transplantation for healthcare professionals.
Intracerebral hemorrhage (ICH) is the most serious form of stroke and has limited available therapeu...
Colon adenocarcinoma (COAD) is one of the most prevalent malignancies worldwide and its prognosis is...
Anoikis resistance plays a crucial role in the proliferation, metastasis, and invasion of hepatocell...
Liver transplant recipients (LTRs) are at risk of graft injury, leading to cirrhosis and reduced sur...
Data augmentation has been demonstrated to improve the classification accuracy of deep learning mode...
Cirrhosis represents the end stage of chronic liver disease, significantly reducing life expectancy ...
Patients with metabolic dysfunction-associated steatotic liver disease (MASLD) are more susceptible ...
Sepsis is a life-threatening organ dysfunction due to a dysfunctional response to infection. Delays ...
Kidney renal clear cell carcinoma (KIRC), a cancer characterized by substantial immune infiltration,...
Recent advances in artificial olfactory systems have attracted significant attention for their poten...
Artificial intelligence technology has been applied in occupational hazards monitoring, occupational...
Machine learning algorithms that integrate multiple biomarkers are increasingly used in disease dete...
In Human-Robot Interaction, speech is one of the most intuitive and effective communication channel....
Therapeutic hypothermia (TH) significantly reduces mortality and morbidities in neonates with Neonat...
OBJECTIVES: In lung transplantation (LTx), a priority is assigned to each candidate on the waiting l...
Predicting whether a patient will develop cancer using nuclear features on pathological images is im...
Integrating deep learning into clinical workflows for medical image analysis holds promise for impro...
A significant risk following a kidney transplantation is graft loss. The Screen Reject Project has d...
Toxicity is a critical hurdle in drug development, often causing the late-stage failure of promising...
Neuromorphic hardware facilitates the fast and energy-efficient implementation of neural network-bas...
Allergic asthma in children is typically associated with house dust mites (HDM) as the key allergen....