Latest AI and machine learning research in infectious disease for healthcare professionals.
The use of bacteriocins has emerged as a propitious strategy in the development of new drugs to combat antibiotic resistance, given their ability to kill bacteria with both broad and narrow natural spectra. Hence, a compelling requirement arises for a precise and efficient computational model that can accurately predict novel bacteriocins. Machine learning's ability to learn patterns and features ...
Annexin A5 is a phosphatidylserine binding protein with anti-inflammatory, anticoagulant and anti-apoptotic properties. Preclinical studies have shown that annexin A5 inhibits pro-inflammatory responses and improves organ function and survival in rodent models of sepsis. This clinical trial aimed to evaluate the pharmacokinetic (PK) properties of the recombinant human annexin A5 (SY-005) in sever...
Titanium alloys have gained popularity in implant dentistry for the restoration of missing teeth and related hard tissues because of their biocompatib...
Cancer vaccines have been increasingly studied and developed to prevent or treat various types of cancers. To systematically survey and analyze differ...
Globally, millions of lives are impacted every year by infectious diseases outbreaks. Comprehensive and innovative surveillance strategies aiming at e...
[This corrects the article DOI: 10.3389/fphar.2023.1265573.].
The impact of clinical prediction models within artificial intelligence (AI) and machine learning is significant. With its ability to analyze vast amo...
BACKGROUND: Being digitally literate allows health-based science students to access reliable, up-to-date information efficiently and expands the capac...
Although medicinal plants have been used by ethnic communities since ancient times to prevent and treat various diseases, only a few have been scienti...
BACKGROUND: Considering the diversity of tumors, it is of great significance to develop a simple, effective, and low-cost method to prepare personaliz...
In recent years, the use of machine learning to predict stock market indices has emerged as a vital concern in the FinTech domain. However, the inhere...
BACKGROUND: The newly approved third-generation oral anti-HIV-1 drug, ainuovirine (ANV), was used in combination with nucleoside reverse transcriptase...
INTRODUCTION: Antiretroviral therapy has improved life expectancy in HIV-infected patients. However, people living with HIV under antiretroviral thera...
Sepsis is a global health concern accounting for more than 1 in 5 deaths worldwide. Sepsis is now defined as life-threatening organ dysfunction caused...
BACKGROUND: There are many similarities in the clinical manifestations of human norovirus and SARS-CoV-2 infections, and nucleic acid detection is the...
and produced significant amounts of water-insoluble melanins, and our previous study successfully enhanced their water solubility by arginine modifi...
OBJECTIVE: Early detection of Parkinson's Disease (PD) progression remains a challenge. As remote patient monitoring solutions (RMS) and artificial in...
BACKGROUND: A conversational agent powered by artificial intelligence, commonly known as a chatbot, is one of the most recent innovations used to prov...
The advantage of proton therapy as compared to photon therapy stems from the Bragg peak effect, which allows protons to deposit most of their energy d...
Even if malaria is rare in Europe, it is a medical emergency and programs for its control should ensure both an early diagnosis and a prompt treatment...