Preface: Towards a global understanding of development and evolution.

Prog Biophys Mol Biol

University of Florida, United States; University of Maryland, United States. Electronic address:

Published: December 2017

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.pbiomolbio.2017.07.008DOI Listing

Publication Analysis

Top Keywords

preface global
4
global understanding
4
understanding development
4
development evolution
4
preface
1
understanding
1
development
1
evolution
1

Similar Publications

Preface.

J Assoc Physicians India

September 2024

Global Chief Medical Officer, Cipla Ltd., Mumbai, India, Corresponding Author.

The field of diuretic therapy has witnessed significant advancements over the decades. Loop diuretics and other diuretic agents are crucial in the management of various conditions characterized by fluid overload. Torsemide, a loop diuretic agent, has unique pharmacological properties, safety profiles, and varied clinical applications.

View Article and Find Full Text PDF

Bioactive Phyto-Compounds with Antimicrobial Effects and AI: Results of a Desk Research Study.

Microorganisms

May 2024

Department of Social Medicine and Health Care Organisation, Faculty of Public Health, Medical University of Varna, 9002 Varna, Bulgaria.

Resistance of microorganisms to antibiotics represents a formidable global challenge, manifesting in intricate public health ramifications including escalated mortality rates and augmented healthcare costs. The current efforts to manage antimicrobial resistance (AMR) are limited mainly to the standard therapeutic approaches. The aim of this study is to present and analyze the role of artificial intelligence (AI) in the search for new phyto-compounds and novel interactions with antimicrobial effects.

View Article and Find Full Text PDF

This Special Issue contains articles on applications of various new approach methodologies (NAMs) in the field of toxicology and risk assessment. These NAMs include in vitro high-throughput screening, quantitative structure-activity relationship (QSAR) modeling, physiologically based pharmacokinetic (PBPK) modeling, network toxicology analysis, molecular docking simulation, omics, machine learning, deep learning, and "template-and-anchor" multiscale computational modeling. These in vitro and in silico approaches complement each other and can be integrated together to support different applications of toxicology, including food safety assessment, dietary exposure assessment, chemical toxicity potency screening and ranking, chemical toxicity prediction, chemical toxicokinetic simulation, and to investigate the potential mechanisms of toxicities, as introduced further in selected articles in this Special Issue.

View Article and Find Full Text PDF

Background: Developments in the field of digital measures and digitally derived endpoints demand greater attention on globally aligned approaches to enhance digital measure acceptance by regulatory authorities and health technology assessment (HTA) bodies for decision-making. In order to maximize the value of digital measures in global drug development programs and to ensure study teams and regulators are referring to the same items, greater alignment of concepts, definitions, and terminology is required. This is a fast-moving complex field; every day brings new technologies, algorithms, and possibilities.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!