Latest AI and machine learning research in infectious disease for healthcare professionals.
To analyze, understand, and measure the COVID-19 vaccination outlook in a developing country as Nigeria; and the non-clinical analysis, diagnosis, treatment and management of COVID-19, and other Viral Diseases, using Data/Machine Learning (ML)/Artificial Intelligence (AI), Analytical Tools, and Methodologies. Using current and historical data from validated open source data stores, analysis was ca...
Recent developments have enabled daily accumulated medical information to be converted into medical big data, and new evidence is expected to be created using databases and various open data sources. Database research using medical big data was actively conducted in the coronavirus disease 2019 (COVID-19) pandemic and created evidence for a new disease. Conversely, the new term "infodemic" has eme...
Prediction of bacterial immunogens is a prerequisite for the process of vaccine development through reverse vaccinology. The application of in silico ...
Vaccine development is a complex and long process. It involves several steps, including computational studies, experimental analyses, animal model sys...
Pelvic lymphnode dissection (PLND) is an integral part of surgical treatment for localized intermediate and high-risk prostate cancer. The most commo...
OBJECTIVE: The identification of spinal tuberculosis subphenotypes is an integral component of precision medicine. However, we lack proper study model...
The coronavirus disease (COVID-19) pandemic has brought into sharp relief the threat posed by coronaviruses and laid the foundation for a fundamental ...
Chronic candidiasis with bacterial infection is common infection in the toe web which is is not inspected and treated well in early stage, and it is n...
BACKGROUND: Since the beginning of the coronavirus disease 2019 pandemic, there has been an explosion of sequencing of the severe acute respiratory sy...
Despite the achievements obtained worldwide in the control of tuberculosis in recent years, many countries and regions including China still face chal...
Artificial intelligence (AI) has been applied increasingly in the medical field during the past 5 years. Within respiratory medicine, chest imaging AI...
Machine learning methods can be used as robust techniques to provide invaluable information for analyzing biological samples in pharmaceutical industr...
For hearing aids, it is critical to reduce the acoustic coupling between the receiver and microphone to ensure that prescribed gains are below the max...
BACKGROUND: Colonoscopy can detect colorectal adenomas and reduce the incidence of colorectal cancer, but there are still many missing diagnoses. Arti...
The history of medicine is punctuated by conquests, discoveries and revolutions. It is also marked by questioning. It is made of doubts and certaintie...
BACKGROUND: To analyze the diagnosis performance of deep learning model used in corona virus disease 2019 (COVID-19) computer tomography(CT) chest sca...
Breast cancer screening has evolved substantially over the past few decades because of advancements in new image acquisition systems and novel artific...
Reliable outcome prediction in patients with fibrotic lung disease using baseline high-resolution computed tomography (HRCT) data remains challenging...
Objective To compare the performance of five machine learning models and SAPS II score in predicting the 30-day mortality amongst patients with sepsis...
Human leukocyte antigens (HLA) regulate various innate and adaptive immune responses and play a crucial immunomodulatory role. Recent studies revealed...