Latest AI and machine learning research in sepsis for healthcare professionals.
BACKGROUND: Sepsis in children with cardiovascular involvement can increase mortality. Recently, man...
Although the current widespread use of amikacin is in intra-abdominal sepsis treatment, its pharmac...
Chronic infection with Hepatitis B virus (HBV) is a major risk factor for the development of advance...
Second-line depression treatment involves augmentation with one (rarely two) additional drugs, of ch...
Forty-five beef cull cows [body weight () = 503 ± 58 kg; body condition score () = 2.1 ± 0.6] were r...
INTRODUCTION: infection is a well-established etiological factor for a variety of diseases such as ...
A pivotal issue to achieve success in the treatment of the root canal is root canal disinfection. O...
INTRODUCTION: Sepsis represents a major cause of morbidity and mortality in critically ill patients....
Perioperative morbidity is a public health priority, and surgical volume is increasing rapidly. Wit...
Antimalarial agents are necessary tools in the global malaria eradication agenda and plants used tra...
Growth in open-source hardware designs combined with the low-cost of high performance optoelectronic...
Deep convolutional neural networks (CNNs) are a method of choice for image recognition. Herein a hyb...
BACKGROUND: Infection is the most common diseases in developing country, including Indonesia. Bacter...
Understanding plant disease resistance is important in the integrated management of Phytophthora inf...
Climate change has been described to raise outbreaks of water-born infectious diseases and increases...
Parkinson's disease is the second most common neurodegenerative disease in the elderly after Alzheim...
BACKGROUND: Drug-resistant cytomegalovirus (CMV) infection has been increasingly recognized. However...
OBJECTIVE: Achieving accurate prediction of sepsis detection moment based on bedside monitor data in...
Raman optical spectroscopy promises label-free bacterial detection, identification, and antibiotic s...
UNLABELLED: To develop and evaluate a novel strategy that automates the retrospective identification...
BACKGROUND: The use of integrated robotic technology to quantify the spectrum of motor symptoms of P...