Latest AI and machine learning research in covid-19 for healthcare professionals.
Confirmatory body fluid identification via the detection of specific messenger RNA (mRNA) species is...
PURPOSE: In the post-COVID era, recognizing evolving physician competencies is crucial for guiding m...
Immune dysregulation plays a key role in the deterioration of COVID-19. This study evaluated immune ...
Prostate cancer (PCa) remains one of the most prevalent cancers among men, with over 1.4 million new...
Acute myeloid leukemia (AML) represents a genetically heterogeneous malignancy, with mutations in th...
The early and precise diagnosis of stroke plays an important role in its treatment planning. Compute...
BACKGROUND: Immunotherapy represents a paradigm shift in oncology, offering advantages in efficacy a...
BACKGROUND: The accurate identification of acupoints is an essential task in acupuncture therapy. Re...
Cancer vaccines stimulate antitumor immunity by delivering tumor antigens and, in recent years, have...
Viral Infections cause several common human illnesses, like the common cold, flu, mouth blisters, an...
Early detection of amnestic mild cognitive impairment (aMCI) is crucial for timely interventions. Th...
We report on the 8th CAPRI Evaluation period, capturing the assessment of CAPRI Rounds 47 to 55 (exc...
Artificial intelligence and machine learning models have been developed to engineer antibodies for s...
An underlying association between primary open-angle glaucoma (POAG) and COVID-19 has been hypothesi...
Antimicrobial resistance (AMR) represents a critical global health challenge, demanding rapid and ac...
The GH11 xylanase XynCDBFV, derived from Neocallimastix patriciarum, is widely used in various indus...
The rapid and accurate detection of COVID-19 (coronavirus disease 2019) from normal and pneumonia ch...
Antibodies recognize antigens via complementary and structurally dependent mechanisms. Therefore, in...
Survivors of severe COVID-19 often suffer from long-term respiratory issues, but the molecular drive...
BACKGROUND: Accurate prediction of pathological complete response (pCR) to neoadjuvant chemotherapy ...
The drawbacks of random sampling not only hinder the development of more reliable and efficient meth...