Latest AI and machine learning research in infectious disease for healthcare professionals.
Acute minor ischemic stroke patients often experience recurrence shortly after symptom onset, highlighting the importance of predicting stroke recurrence for guiding treatment decisions. This study evaluated the effectiveness of machine learning models in predicting in-hospital recurrence. The study cohort comprised 322,135 patients with acute minor ischemic stroke from 1439 centers, as establishe...
The research is devoted to mandarin leaf classification using a deep learning approach. Citrus cultivation has a big market in Bangladesh. In citrus, mandarin is one of them. For the research, we collected images from the Natore district in Bangladesh. The datasets are classifying with the Mandarin varieties are cultivated in Bangladesh. Image classification has been done with Mandarin veritas, su...
Alpha-Galactosidase has significant industrial application value in food processing, animal nutrition and medical applications. Microbial-derived α-ga...
Microplastic mitigation strategies that adapt to various actual aquatic environments require the ability to predict their microbial degradation potent...
Indonesia is a tropical country where mosquitoes are common. There are >100 species of mosquitoes found in Indonesia. Some of these species can carry ...
Detecting lung abnormalities via chest X-rays is challenging due to understated tissue variations often ignored by traditional methods. Augmentation t...
Alternating treatment with free ammonia (FA) and free nitrous acid (FNA) is an effective strategy to inhibit nitrite-oxidizing bacteria (NOB) in parti...
Epilepsy refers to the occurrence of two or more than two reiterative seizures. The occurrence of seizure is governed by the excessive electrical disc...
BACKGROUND: The 2023 Duke-International Society for Cardiovascular Infectious Diseases (ISCVID) guideline included as a typical infective endocarditi...
Cyclin-dependent kinase 4/6 inhibitors (CDK4/6i) have reshaped the treatment paradigm of hormone receptor positive (HR + )/HER2-negative breast cancer...
Wastewater sampling has been shown to be an effective tool for monitoring the dynamics of an infectious disease. During the COVID-19 pandemic, many sa...
The development of artificial intelligence systems is revolutionizing many fields of medicine, but specific studies are still missing in pediatrics. I...
Computational approaches to predicting mental health conditions in social media have been substantially explored in the past years. Multiple reviews h...
BACKGROUND: Personal protective equipment (PPE) is a first-line transmission-based precaution for reducing the spread of nosocomial infections between...
To improve the efficiency of hyaluronic acid production by Streptococcus zooepidemicus, the growth medium was optimized with a pipeline involving a de...
INTRODUCTION: Respiratory diseases like pneumonia, asthma, and COPD are major global health concerns, significantly impacting morbidity and mortality ...
Breast cancer reconstruction, a vital part of comprehensive cancer therapy, can be performed concurrently with cancer resection, improving both physic...
This research presents an innovative neuromorphic method utilizing Spiking Neural Networks (SNNs) to analyze pediatric chest X-rays (PediCXR) to ident...
Real-world applications, particularly in the medical field, often handle irregular time signals (ITS) with non-uniform intervals between measurements....
Malaria remains a critical health challenge in developing countries, particularly in Africa, where it disproportionately affects vulnerable population...