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Optimizing droplet coalescence dynamics in microchannels: A comprehensive study using response surface methodology and machine learning algorithms.
Heliyon
January 2025
Institute for Nanomaterials, Advanced Technologies and Innovation, Technical University of Liberec, 46117, Liberec, Czech Republic.
Droplet coalescence in microchannels is a complex phenomenon influenced by various parameters such as droplet size, velocity, liquid surface tension, and droplet-droplet spacing. In this study, we thoroughly investigate the impact of these control parameters on droplet coalescence dynamics within a sudden expansion microchannel using two distinct numerical methods. Initially, we employ the boundary element method to solve the Brinkman integral equation, providing detailed insights into the underlying physics of droplet coalescence.
View Article and Find Full Text PDFNumSimEX: A method using EXX hydrogen exchange mass spectrometry to map the energetics of protein folding landscapes.
Protein Sci
February 2025
Amherst College, Amherst, Massachusetts, USA.
Hydrogen exchange mass spectrometry (HXMS) is a powerful tool to understand protein folding pathways and energetics. However, HXMS experiments to date have used exchange conditions termed EX1 or EX2 which limit the information that can be gained compared to the more general EXX exchange regime. If EXX behavior could be understood and analyzed, a single HXMS timecourse on an intact protein could fully map its folding landscape without requiring denaturation.
View Article and Find Full Text PDFAnti-inflammatory activity of essential oil from medicinal plants: An insight into molecular mechanism, in-silico studies and signaling pathways.
Phytomedicine
January 2025
Centre for Industrial Biotechnology Research, Siksha 'O' Anusandhan Deemed to be University, Campus 2, Kalinganagar, Bhubaneswar-751003, Odisha, India. Electronic address:
Background: Medicinal plants have historically been the cornerstone of treatment for a myriad of ailments. With modern pharmacology, many contemporary drugs have been derived from traditional medicine practices. Essential oils from these plants, known for their anti-inflammatory capabilities, have played a significant role in treating conditions such as cardiovascular and inflammatory skin diseases, as well as joint inflammation.
View Article and Find Full Text PDFHarnessing the AI/ML in Drug and Biological Products Discovery and Development: The Regulatory Perspective.
Pharmaceuticals (Basel)
January 2025
College of Pharmacy, University of Illinois, Chicago, IL 60612, USA.
Artificial Intelligence (AI) has the disruptive potential to transform patients' lives via innovations in pharmaceutical sciences, drug development, clinical trials, and manufacturing. However, it presents significant challenges, ethical concerns, and risks across sectors and societies. AI's rapid advancement has revealed regulatory gaps as existing public policies struggle to keep pace with the challenges posed by these emerging technologies.
View Article and Find Full Text PDFHarnessing the Power of AI to Improve Detection, Monitoring, and Public Health Interventions for Japanese Encephalitis.
Biomedicines
December 2024
School of Health Sciences, Swinburne University of Technology, Hawthorn, VIC 3122, Australia.
Unlabelled: Japanese Encephalitis (JE) is the leading cause of viral encephalitis in regions with endemic Japanese Encephalitis Virus (JEV) infections.
Background/objectives: The aim of this review is to consider the potential role of artificial intelligence (AI) to improve detection, monitoring and public health interventions for JE.
Discussion: As climate change continues to impact mosquito population growth patterns, more regions will be affected by mosquito-borne diseases, including JE.
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