Results 151 to 160 of about 24,277 (306)

Potential for use of Al/machine learning for pharmacovigilance: Is there a role for regulators?

British Journal of Clinical Pharmacology, EarlyView.
Christina Gao, Ashley M. Hopkins, Andrew Rowland, Stephen Bacchi   +3 more
wiley   +1 more source

Machine Learning Paradigm for Advanced Battery Electrolyte Development

Carbon Energy, EarlyView.
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su, Mengfan Pei, Keyu Chen, Xigao Jian, Fangyuan Hu   +4 more
wiley   +1 more source

A Systematic Review on Disease‐Modifying Therapies in Parkinsonian Disorders

Clinical Pharmacology &Therapeutics, EarlyView.
Parkinsonian disorders, including Parkinson's disease, Lewy body dementia, multiple system atrophy, and progressive supranuclear palsy, are progressive neurodegenerative conditions with no treatment options to slow disease progression. This systematic review provides an overview of evidence of disease‐modifying therapies that have been evaluated in ...
Pepijn P.N.M. Eijsvogel, Lars M.G. Smits, Philip H.C. Kremer, Geert Jan Groeneveld   +3 more
wiley   +1 more source

Individual threat-relevance accelerates belief-updating in conditioned hallucinations. [PDF]

Sci Rep
Martin JM, Fisher VL, Eckert AL, Powers A, Sterzer P.   +4 more
europepmc   +1 more source

AI‐Enabled Precision Dosing in Pediatrics: Enhancing Model‐Informed Decision Making

Clinical Pharmacology &Therapeutics, EarlyView.
Ensuring safe and effective pharmacotherapy for children remains a central challenge in clinical pharmacology, yet rapid advances in AI have not translated into clinical practice. This Perspective highlights how AI‐enabled approaches can enhance model‐informed decision making for precision dosing.
Kei Irie, Tomoyuki Mizuno
wiley   +1 more source

Evaluating large language models for accuracy incentivizes hallucinations. [PDF]

Nature
Kalai AT, Nachum O, Vempala SS, Zhang E.
europepmc   +1 more source

Digital Transformation of Medicines Regulation in Africa—Perspectives from a Stakeholder Convening

Clinical Pharmacology &Therapeutics, EarlyView.
Regulatory authorities worldwide are developing strategies to integrate artificial intelligence (AI) into the lifecycle of health products, technologies, and medicines. While regulators share goals of improving efficiency, strengthening decision‐making, and protecting public health, their approaches differ according to institutional structures ...
Christelna Reyneke, Boitumelo Semete‐Makokotlela, Varnika Singh, Khanyisile Nkuku, Madelein Terblanche, Ezekiel T Mukanga, Nancy Ngum, Kudakwashe Dandajena, McNeil Chimus Mhango, Paulyne Wairimu, John Mwangi, Dominique Lagrave, Goonaseelan (Colin) Pillai   +12 more
wiley   +1 more source

From dots to faces: individual differences in visual imagery capacity predict the content of Ganzflicker-induced hallucinations. [PDF]

Neurosci Conscious
Chkhaidze A, Reeder RR, Gag C, Kiyonaga A, Coulson S.   +4 more
europepmc   +1 more source

The Evolution of Environmental, Social, and Governance (ESG) and Risk and Its Implications for Sustainable Finance: A Systematic Literature Review

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Recent literature addressing ESG and risk has increased by 70% since mid‐2022, reflecting a growing interest in sustainable finance. Guided by the PRISMA flow diagram, this paper employs a hybrid systematic review methodology, combining bibliometric analysis with content analysis, to provide a comprehensive overview of the evolution of ESG and
Fahad Asmi, Alain Neher, Alfred Wong
wiley   +1 more source

Voice-Based Structured Nursing Documentation Using Automatic Speech Recognition and Large Language Models: Development and Evaluation Study. [PDF]

JMIR Nurs
Su MH, Wang WC, Hsu YM, Hou SY, Chuang SJ, Chang SS.   +5 more
europepmc   +1 more source