Tuberculous meningitis (TBM) is not only one of the most fatal forms of tuberculosis, but also
a major public health concern worldwide, presenting grave clinical challenges due to its …

Tuberculous meningitis (TBM) poses a diagnostic challenge, particularly impacting
vulnerable populations such as infants and those with untreated HIV. Given the diagnostic …

Purpose Robust biomarkers that predict disease outcomes amongst COVID-19 patients are
necessary for both patient triage and resource prioritisation. Numerous candidate …

Objective This study aimed to build radiomic feature-based machine learning models to
predict pathological clinical response (pCR) of neoadjuvant chemoradiation therapy (nCRT) …

As the amount and complexity of biomedical data continue to increase, machine learning
methods are becoming a popular tool in creating prediction models for the underlying …

Meningitis is a serious condition caused by inflammation of meninges which are protective
layers of membranes for the brain and spinal cord. The aim of this study is to help diagnose …

The opioid crisis has led to an increased number of drug overdoses in recent years. Several
approaches have been established to predict opioid prescription by health practitioners …

COVID-19 has been in the headlines for the past two years. Diagnosing this infection with
minimal false rates is still an issue even with the advent of multiple rapid antigen tests …

Due to its high mortality rate associated with various life-threatening sequelae, meningitis
poses a vital problem in contemporary medicine. Numerous algorithms, many of which were …

Safety of children is of utmost importance in any home environment. IoT when combined
with machine learning is found to offer tremendous benefits in creating smart and safe …