Latest AI and machine learning research in covid-19 for healthcare professionals.
Small interfering RNA (siRNA) therapeutics have emerged as a transformative approach for sequence-specific gene silencing, offering the potential to treat a broad spectrum of diseases by selectively suppressing disease-associated genes. However, the clinical translation of siRNA remains limited by rapid enzymatic degradation, poor cellular uptake, inadequate endosomal escape, and off-target effect...
Viral diseases pose a serious threat to global public health, agriculture, and biosecurity. Conventional antiviral strategies are often limited by an incomplete understanding of disease mechanisms, poor targeting precision, and slow response times. Emerging technologies are now reshaping the landscape of antiviral research. This review examines the roles of four key frontiers, including organoid m...
New Delhi metallo-β-lactamase-1 (NDM-1), which has emerged globally, exhibits resistance to almost all β-lactam antibiotics, including carbapenems, po...
Telemedicine is reshaping how early autism detection can be delivered, particularly in resource-limited settings. Yet, most existing tele-assessment t...
Prior research investigated limited antibody sets within individual autoimmune diseases. Using the Nucleic-Acid Programmable Protein Array platform, w...
BACKGROUND: Human papilloma virus (HPV)-related head and neck squamous cell carcinoma (HNSCC) incidence is rising. Despite the prognostic and therapeu...
MOTIVATION: AlphaFold has transformed structural biology with an unprecedented accuracy in modelling protein structures and their interactions with bi...
Microplastics (MPs) are an emerging pollutant of global concern, creating an urgent need for rapid and accurate monitoring workflows. Deep learning-ba...
Breast cancer exhibits significant spatiotemporal heterogeneity. Traditional radiomics approaches usually rely on low-temporal-resolution imaging and ...
Deep learning methods are becoming increasingly important for medical image segmentation. However, previous approaches often performed poorly in spati...
BACKGROUND: To develop a machine learning model for early differentiation of primary immune thrombocytopenia (pITP) from connective tissue disease-rel...
Existing dyslexia detection methods typically rely on either EEG or screening tests. This study introduces a multimodal two-stage methodology for dysl...
IMPORTANCE: Pleomorphic dermal sarcomas (PDSs) are classified as sarcomas; however, they share features with cutaneous carcinomas, such as presentatio...
BACKGROUND: Viral communities of the upper aerodigestive tract represent an important component of the human microbial ecosystem but remain poorly cha...
Micronuclei (MN) are structures containing small DNA fragments that arise from mitotic errors or failed DNA repair and serve as markers of genome inst...
The human cortex is complex and heterogeneous, undergoing extensive expansion during development1,2. Our prior study of neurogenesis, including radial...
Developmental and reproductive toxicity testing (DART) safety tests are expensive and time-consuming. The future of DART testing is trending toward in...
BACKGROUND: Lyme disease, a vector-borne zoonosis caused by Borrelia species, is classified into early localized and late disseminated infection. Left...
BACKGROUND: The Medical College Admission Test (MCAT) has been central to medical school admissions in North America, though its necessity in holistic...
Parkinson's disease (PD) is a complex neurodegenerative disorder in which environmental toxins play a critical etiological role. Rotenone, a classical...