The COVID-19 explorer—An integrated, whole patient knowledge model of COVID-19 disease

Frontiers in Molecular Medicine, Год журнала: 2022, Номер 2

Опубликована: Дек. 22, 2022

Since early 2020 the COVID-19 pandemic has paralyzed world, resulting in more than half a billion infections and over 6 million deaths within 28-month period. Knowledge about disease remains largely disjointed, especially when considering molecular mechanisms driving diversity of clinical manifestations symptoms. Despite recent availability vaccines, there an urgent need to develop effective treatments for cases severe disease, face novel virus variants. The complexity situation is exacerbated by emergence as complex multifaceted systemic affecting independent tissues organs throughout body. development treatment strategies therefore predicated on integrated understanding underlying their potentially causative link observed phenotypes. To address this need, we utilized computational technology (the Dataome platform) build clinico-molecular view most important Our results provide first integrated, whole-patient model symptomatology that connects lifecycle SARS-CoV-2 with microvesicle-mediated intercellular communication contact activation kallikrein-kinin systems. not only explains pleiotropy COVID-19, but also provides evidence-driven framework drug development/repurposing identification critical risk factors. associated knowledge provided form open source Explorer ( https://covid19.molecularhealth.com ), enabling global community explore analyze key features implications research priorities therapeutic strategies. work suggests modeling solutions may offer utility expediting response future health emergencies.

Язык: Английский

A brief reference to AI-driven audible reality (AuRa) in open world: potential, applications, and evaluation

Frontiers in Artificial Intelligence, Год журнала: 2024, Номер 7

Опубликована: Окт. 25, 2024

Recent developments on artificial intelligence (AI) and machine learning (ML) techniques are expected to have significant impact public health in several ways. Indeed, modern AI/ML methods been applied multiple occasions topics ranging from drug discovery disease diagnostics personalized medicine, medical imaging, healthcare operations. While such may improve quality-of-life aspects (such as access services education), it is important considering that some individuals face more challenges, particularly extreme or emergency situations. In this work, we focus utilizing components support scenarios when visual impairment other limitations hinder the ability interpret world way. Specifically, discuss potential feasibility of automatically transferring key information into audio communication, different languages real-time-a setting which name '

Язык: Английский

Rewiring Drug Research and Development through Human Data-Driven Discovery (HD3)

Pharmaceutics, Год журнала: 2023, Номер 15(6), С. 1673 - 1673

Опубликована: Июнь 7, 2023

In an era of unparalleled technical advancement, the pharmaceutical industry is struggling to transform data into increased research and development efficiency, and, as a corollary, new drugs for patients. Here, we briefly review some commonly discussed issues around this counterintuitive innovation crisis. Looking at both industry- science-related factors, posit that traditional preclinical front-loading pipeline with drug candidates are unlikely succeed in Applying first principles analysis, highlight critical culprits provide suggestions how these can be rectified through pursuit Human Data-driven Discovery (HD

Язык: Английский