Latest AI and machine learning research in domestic violence for healthcare professionals.
The identification of compounds for dissecting biological functions and the development of novel drug molecules are central tasks that often require screening campaigns. However, the required architecture is cost- and time-intensive. Herein we describe the devices and technologies that comprise a Robotics-Assisted Screening Platform for Efficient Ligand Discovery (RASPELD), which we set up in an a...
Drug safety, also called pharmacovigilance, represents a serious health problem all over the world. Adverse drug reactions (ADRs) and drug-drug interactions (DDIs) are two important issues in pharmacovigilance, and how to detect drug safety signals has drawn many researchers' attention and efforts. Currently, methods proposed for ADR and DDI detection are mainly based on traditional data sources s...
The safety of medication use has been a priority in the United States since the late 1930s. Recently, it has gained prominence due to the increasing a...
Over the past few decades, the rise of multiple chronic conditions has become a major concern for clinicians. However, it is still not known precisely...
Autism Spectrum Disorder (ASD) is one of the fastest growing developmental disability diagnosis. General practitioners (GPs) and family physicians are...
Artificial intelligence (AI) is already widely employed in various medical roles, and ongoing technological advances are encouraging more widespread u...
Route optimization of hazardous materials transportation is one of the basic steps in ensuring the safety of hazardous materials transportation. The o...
BACKGROUND: Online discussion forums allow those in addiction recovery to seek help through text-based messages, including when facing triggers to dri...
Experimental paradigms used in affective and clinical science often use stimuli such as images, scenarios, videos, or words to elicit emotional respon...
Significant technical advances have been made in radiology since the first discovery of X-rays. Diagnostic techniques have become more and more comple...
Artificial intelligence (AI) is projected to substantially influence clinical practice in the foreseeable future. However, despite the excitement arou...
BACKGROUND: Screening candidate studies for inclusion in a systematic review is time-consuming when conducted manually. Automation tools could reduce ...
The aim of this study is to utilize the Defense and Veterans Eye Injury and Vision Registry clinical data derived from DoD and VA medical systems whic...
Opioid analgesics, as commonly prescribed medications used for relieving pain in patients, are especially prevalent in US these years. However, an inc...
The United States is in the midst of a prescription opioid epidemic, with the number of yearly opioid-related overdose deaths increasing almost fourfo...
Quality reporting that relies on coded administrative data alone may not completely and accurately depict providers' performance. To assess this conce...
Identifying trauma patients at risk of imminent hemorrhagic shock is a challenging task in intraoperative and battlefield settings given the variabili...
Opioid overdose-related morbidity and mortality remain one of the most pressing public health crises. Overdose education and naloxone distribution hav...
Life-threatening cardiomyopathy is a severe, but common, complication associated with severe trauma or sepsis. Several signaling pathways involved in ...
Flexible robotic catheters are an emerging technology which provide an elegant solution to the challenges of conventional endovascular intervention. O...