The scientific community is facing a revolution in several aspects of its , ranging from the way science is done-data production, collection, analysis-to the way it is communicated and made available to the public, be that an academic audience or a general one. These changes have been largely determined by two key players: the revolution or, less triumphantly, the impressive increase in computational power and data storage capacity; and the accelerating paradigm switch in science publication, with people and policies increasingly pushing towards open access frameworks. All these factors prompt the undertaking of initiatives oriented to maximize the effectiveness of the computational efforts carried out worldwide. Taking the moves from these observations, we here propose a coordinated initiative, focusing on the computational biophysics and biochemistry community but general and flexible in its defining characteristics, which aims at addressing the growing necessity of collecting, rationalizing, sharing and exploiting the data produced in this scientific environment.
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http://dx.doi.org/10.1098/rsfs.2019.0005 | DOI Listing |
Handb Exp Pharmacol
January 2025
Genentech Inc, South San Francisco, CA, USA.
In this chapter, we envision the future of Quantitative Systems Pharmacology (QSP) which integrates closely with emerging data and technologies including advanced analytics, novel experimental technologies, and diverse and larger datasets. Machine learning (ML) and Artificial Intelligence (AI) will increasingly help QSP modelers to find, prepare, integrate, and exploit larger and diverse datasets, as well as build, parameterize, and simulate models. We picture QSP models being applied during all stages of drug discovery and development: During the discovery stages, QSP models predict the early human experience of in silico compounds created by generative AI.
View Article and Find Full Text PDFAlzheimers Dement (Amst)
January 2025
Health Care Research Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE) Greifswald Mecklenburg-Vorpommern Germany.
Introduction: This study investigated the association between modifiable factors and symptom progression in dementia over up to 8 years.
Methods: Multilevel growth curve models assessed the role of modifiable risk factors (low education, hearing impairment and its treatment, depression, physical inactivity, diabetes and its treatment, smoking, hypertension and its treatment, obesity, alcohol consumption, social isolation, and visual impairment) on cognitive and functional trajectories in 353 people with dementia.
Results: Higher education was associated with higher initial cognitive status but faster decline.
J Anim Ecol
January 2025
School of Biodiversity, One Health and Veterinary Medicine, University of Glasgow, Glasgow, UK.
Research Highlight: Iannarilli, F., Gerber, B. D.
View Article and Find Full Text PDFPerspect Med Educ
January 2025
A Professor at the Medical College of Wisconsin, Wisconsin, USA.
In this introduction, the guest editors of the "Next Era in Assessment" special collection frame the invited papers by envisioning a next era in assessment of medical education, based on ideas developed during a summit that convened professional and educational leaders and scholars. The authors posit that the next era of assessment will focus unambiguously on serving patients and the health of society, reflect its sociocultural context, and support learners' longitudinal growth and development. As such, assessment will be characterized as transformational, development-oriented and socially accountable.
View Article and Find Full Text PDFNat Commun
January 2025
Lands of the O'odham and Yaqui peoples, Native Nations Institute, Udall Center for Studies in Public Policy, University of Arizona, Tucson, AZ, USA.
In the age of big data and open science, what processes are needed to follow open science protocols while upholding Indigenous Peoples' rights? The Earth Data Relations Working Group (EDRWG), convened to address this question and envision a research landscape that acknowledges the legacy of extractive practices and embraces new norms across Earth science institutions and open science research. Using the National Ecological Observatory Network (NEON) as an example, the EDRWG recommends actions, applicable across all phases of the data lifecycle, that recognize the sovereign rights of Indigenous Peoples and support better research across all Earth Sciences.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!