Latest AI and machine learning research in anemia for healthcare professionals.
This study explores nursing students' stress responses while they are being trained in a mixed reality (MR) setting that replicates highly stressful clinical scenarios. Using measurements of physiological indices such as heart rate, electrodermal activity, and skin temperature, the study assesses the level of stress when the students interact with digital patients whose vital signs and symptoms in...
BACKGROUND AND OBJECTIVE: Accurate diagnosis of brain tumors significantly impacts patient prognosis and treatment planning. Traditional diagnostic methods primarily rely on clinicians' subjective interpretation of medical images, which is heavily dependent on physician experience and limited by time consumption, fatigue, and inconsistent diagnoses. Recently, deep learning technologies, particular...
For implementing Raman spectroscopy as an analytical method in downstream processing, extracting molecular information related to biopharmaceuticals i...
In the present study, we investigated biochemical, hematological, lipidomic, and metabolomic alterations associated with different SAR-CoV-2 variants ...
BACKGROUND: Machine learning models to predict hypoxia in patients could improve timely interventions. Due to the diversity and limited generalizabili...
The autonomic nervous system (ANS) regulates physiological changes during pregnancy, supporting fetal development and homeostasis. Heart rate (HR) and...
The accelerated advancement of artificial intelligence (AI) has positioned it as a novel colleague. However, as employees collaborate with AI colleagu...
Hydrogels hold great promise as flexible sensors. However, the development of hydrogel sensors with exceptional anti-swelling properties and stable pe...
In rehabilitation robotics, optimizing energy consumption and high interaction forces is essential to prevent unnecessary muscle fatigue and excessive...
Cross-adaptation occurs when exposure to one environmental stressor (e.g., heat) induces protective responses to another (e.g., hypoxia). Although pos...
Cold temperatures (<-15°C) increase exercise-induced bronchoconstriction (EIB), while hypoxic-induced hyperventilation exacerbates respiratory muscle ...
Atherosclerosis leading to cardiovascular diseases remains a dominant medical problem. In the early stages of this disease, the interaction between ci...
The iron regulatory hormone hepcidin contributes to the pathogenesis of anemia of inflammation (AI) by inhibiting the iron exporter ferroportin in tar...
Difficulty of nanomedicines to effectively penetrate the tumor core and achieve effective killing of tumor stem cells is an important factor leading t...
Knee osteoarthritis (KOA) is a leading cause of disability globally. Early and accurate diagnosis is paramount in preventing its progression and impro...
Driver fatigue is one of the most common causes of road accidents, which means that there is a great need for robust and adaptive monitoring systems. ...
UNSTRUCTURED: Digital health interventions offer promise for scalable and accessible healthcare, but access is still limited by some participatory cha...
Warning information plays a vital role in encouraging disaster preparedness among residents. Using survey experiment data from 619 respondents in Chin...
Driver fatigue is one of the major causes of traffic accidents, particularly for drivers of large vehicles, who are more susceptible to fatigue due to...
Industrial exoskeletons (a.k.a. wearable robots) have been developed to reduce musculoskeletal fatigue and work injuries. Human joint kinematics and h...