Latest AI and machine learning research in vaccines for healthcare professionals.
Respiratory syncytial virus (RSV) remains a major cause of severe acute respiratory infections across the life course, particularly in infants, older adults, and immunocompromised individuals. For decades, clinical management relied almost exclusively on supportive care, while ribavirin, the only licensed antiviral, offered limited therapeutic benefit. The recent introduction of prefusion F (pre-F...
In adjuvant research, which has long relied on experience and trial and error, advancements in technologies in broad areas, including artificial intelligence (AI)/machine learning, enabling data-driven research, have supported the introduction of more evidence-based, efficient approaches. Data-driven research, including systems biology in vaccinology ('systems vaccinology'), requires not only anal...
RATIONALE AND OBJECTIVES: Human papillomavirus (HPV) status is a critical biomarker for treatment planning and patient management in oropharyngeal can...
Developing an effective malaria vaccine is challenging because Plasmodium parasites use complex strategies to invade host cells. The blood stage, wher...
Deep mutational scanning (DMS) has been extensively used to investigate how single-position mutations in the receptor-binding domain (RBD) affect bind...
Antibodies are central mediators of the adaptive immune response, and they are powerful research tools and therapeutics. Antibody discovery requires s...
BACKGROUND: The infection of high-risk human papillomavirus (hr-HPV) and related cervical cancer have greatly threatened women's health. However, the ...
Ferritin, a natural iron-storage protein, has emerged as a versatile platform in nanotechnology and biomedicine due to its biocompatible 12Â nm nanocag...
Bioinformatics has transformed modern virology by linking genomic variation to epidemiology, protein structure, and public health action. This review ...
BACKGROUNDPrimary therapy for high-risk bladder cancer (BCa) is repeated instillations of the tuberculosis vaccine Bacillus Calmette-Guérin (BCG). Alt...
Argument strength and message persuasiveness are key constructs in message effects research. Yet, researchers still lack a systematic and efficient ap...
Intertwining supply chains integrates the corresponding networks across several intersection points, such as suppliers, manufacturers, and transporter...
OBJECTIVE: Public willingness to accept medical artificial intelligence (AI) tools affect the potential real-world impact of these evolving technologi...
BACKGROUND: Despite molecular advancements, cervical cytology remains a resilient and fundamental laboratory tool in the prevention of cervical cancer...
Messenger RNA (mRNA) technology holds great promise in biomedicine; however, its therapeutic efficacy relies heavily on translation efficiency and the...
OBJECTIVES: Artificial intelligence (AI)-driven chatbots have been rapidly adopted across research, education, business, marketing and medicine. Most ...
Personalized cancer vaccines have re-emerged as a promising strategy in precision immunotherapy, driven by advances in tumor sequencing, neoantigen id...
Multidrug resistance (MDR) remains the principal impediment to curative oncology, driven by complex interplays between cancer cells and the tumor micr...