[HTML][HTML] Artificial intelligence-driven prediction modeling and decision making in spine surgery using hybrid machine learning models

B Saravi, F Hassel, S Ülkümen, A Zink… - Journal of Personalized …, 2022 - mdpi.com
Healthcare systems worldwide generate vast amounts of data from many different sources.
Although of high complexity for a human being, it is essential to determine the patterns and …

Success stories of AI in drug discovery-where do things stand?

KK Mak, MK Balijepalli, MR Pichika - Expert opinion on drug …, 2022 - Taylor & Francis
Introduction Artificial intelligence (AI) in drug discovery and development (DDD) has gained
more traction in the past few years. Many scientific reviews have already been made …

The impact of COVID-19 on patients with asthma

JL Izquierdo, C Almonacid, Y González… - European …, 2021 - Eur Respiratory Soc
Background An association between the severity of coronavirus disease 2019 (COVID-19)
and the presence of certain chronic conditions has been suggested. However, unlike …

[HTML][HTML] Big data in corneal diseases and cataract: Current applications and future directions

DSJ Ting, R Deshmukh, DSW Ting, M Ang - Frontiers in Big Data, 2023 - frontiersin.org
The accelerated growth in electronic health records (EHR), Internet-of-Things, mHealth,
telemedicine, and artificial intelligence (AI) in the recent years have significantly fuelled the …

Trends in the use of promotional language (hype) in abstracts of successful national institutes of health grant applications, 1985-2020

N Millar, B Batalo, B Budgell - JAMA network open, 2022 - jamanetwork.com
Importance The integrity of the grant application process is important to the success of the
entire research enterprise. However, little information is available concerning the prevalence …

[HTML][HTML] Machine learning, artificial intelligence, and chemistry: How smart algorithms are reshaping simulation and the laboratory

D Kuntz, AK Wilson - Pure and Applied Chemistry, 2022 - degruyter.com
Abstract Machine learning and artificial intelligence are increasingly gaining in prominence
through image analysis, language processing, and automation, to name a few applications …

[HTML][HTML] Development of antiepileptic drugs throughout history: from serendipity to artificial intelligence

MG Corrales-Hernández, SK Villarroel-Hagemann… - Biomedicines, 2023 - mdpi.com
This article provides a comprehensive narrative review of the history of antiepileptic drugs
(AEDs) and their development over time. Firstly, it explores the significant role of serendipity …

[HTML][HTML] Appraising unmet needs and misinformation spread about polycystic ovary syndrome in 85,872 YouTube comments over 12 years: big data infodemiology …

K Malhotra, P Kempegowda - Journal of Medical Internet Research, 2023 - jmir.org
Background Polycystic ovary syndrome (PCOS) is the most common endocrinopathy in
women, resulting in substantial burden related to metabolic, reproductive, and psychological …

The future of artificial intelligence for the BioTech big data landscape

F Artico, AL Edge III, K Langham - Current Opinion in Biotechnology, 2022 - Elsevier
Highlights•Important phases to execute in BioTech Big Data projects to prepare data for
AI/ML work.•Brief description and advice on the two main types of data structures to use in …

[HTML][HTML] Artificial Intelligence, machine learning, and big data for Ebola virus drug discovery

SK Kwofie, J Adams, E Broni, KS Enninful, C Agoni… - Pharmaceuticals, 2023 - mdpi.com
The effect of Ebola virus disease (EVD) is fatal and devastating, necessitating several efforts
to identify potent biotherapeutic molecules. This review seeks to provide perspectives on …