Latest AI and machine learning research in public health for healthcare professionals.
Artificial intelligence (AI) is increasingly being used to support clinical research, but its value in vaccine clinical trials requires careful evidence-based assessment. Vaccine trials pose distinctive challenges, including high safety expectations in healthy participants, evolving pathogen exposure and baseline immunity, incomplete correlates of protection, applicability of findings to intended-...
As generative AI becomes a standard fixture in graduate education, the pedagogical challenge has shifted from detection to integration. This article describes a curriculum intervention developed for Anatomy of Scientific Error, a graduate-level course on scientific error analysis in interdisciplinary research practice and communication at the Johns Hopkins Bloomberg School of Public Health. To inf...
The prediction and recognition of unstable human walking patterns are of high importance for active video surveillance, smart environments, and assist...
Gait classification and anomaly detection are non-intrusive approaches that can support healthcare surveillance and clinical gait analysis by identify...
BACKGROUND: Current guidelines recommend pancolonic chromoendoscopy (pCE) over white light endoscopy (WLE) alone for colorectal neoplasia (CRN) detect...
Malaria affects almost 263 million people worldwide, most of whom live in sub-Saharan countries. In a strategy to reduce malaria-related mortality and...
Sporozoites (SPZ), the infective mosquito stage of Plasmodium falciparum malaria, are widely studied as therapeutic targets for antibodies either endo...
AI has entered the wellness space through apps and wearables. These technologies can collect real-time data, infer lifestyle patterns, and dynamically...
Cancer vaccines are an attractive immunotherapeutic approach, and numerous clinical trials are ongoing. However, most candidates have not achieved sta...
SUMMARYLeptospirosis, a widespread zoonotic disease caused by pathogenic Leptospira species, remains a major public health challenge, particularly in ...
The genomic deluge has pushed viral molecular evolution into a site-resolved era. For antigenically evolving viruses such as influenza and severe acut...
The escalating threat of viral pandemics, dramatically illustrated by the COVID-19 crisis, has exposed the critical shortcomings of conventional react...
Artificial intelligence (AI) has emerged as a transformative tool for improving the detection, prediction, and prevention of adverse drug reactions (A...
BACKGROUND: Artificial intelligence (AI)-based computer-aided detection (CADe) systems improve adenoma detection in average-risk colorectal cancer scr...
BACKGROUND: Data science methods can provide novel and pragmatic approaches for preventing and controlling non-communicable diseases (NCDs) in Africa....
Urinary tract infections (UTIs) are among the most prevalent bacterial infections worldwide, accounting for a major clinical impact due to high recurr...
The rise of multidrug-resistant microbes, rapidly evolving viruses, and recurring pandemics underscores the urgent need for advanced vaccine technolog...
BACKGROUND: High-risk subsolid pulmonary nodules, especially mixed ground-glass nodules, can represent precancerous or early-stage lung adenocarcinoma...
BACKGROUND: Depressive symptoms are common yet often underrecognized in routine care, underscoring the need for scalable screening approaches beyond e...
Video anomaly detection plays a crucial role in video surveillance, which identifies suspicious intruders without human intervention. Moreover, the ra...