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Going to extremes: progress in exploring new environments for novel antibiotics.
NPJ Antimicrob Resist
March 2024
Institute of Life Sciences, Medical School, Swansea University, Singleton Park, Swansea, SA2 8PP, Wales, UK.
The discoveries of penicillin and streptomycin were pivotal for infection control with the knowledge subsequently being used to enable the discovery of many other antibiotics currently used in clinical practice. These valuable compounds are generally derived from mesophilic soil microorganisms, predominantly Streptomyces species. Unfortunately, problems with the replication of results suggested that this discovery strategy was no longer viable, motivating a switch to combinatorial chemistry in conjunction with existing screening programmes to derive new antimicrobials.
View Article and Find Full Text PDF[Application of artificial intelligence in parasitic diseases and parasitology].
Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi
December 2024
Department of Epidemiology, School of Public Health, Fudan University; Key Laboratory of Public Health Safety, Ministry of Education; Tropical Disease Research Center, Fudan University, Shanghai 200032, China.
The rapid development of artificial intelligence poses a huge impact on health and has become a core driving force for the new generation of the scientific and technological revolution in the field of healthcare. Recently, artificial intelligence has been gradually applied in the field of parasitic diseases and parasitology, including disease diagnosis, prognosis prediction, prediction of transmission risk, intelligent identification of vectors and intermediate hosts, and disease prevention and control, which facilitates the progress towards elimination of parasitic diseases. In addition, artificial intelligence provides highly efficient tools and approaches for healthcare workers and researchers.
View Article and Find Full Text PDFComment on "adipokines and stroke: A systematic review and meta-analysis of disease risk and patient outcomes".
Obes Rev
January 2025
Department of Pediatric Surgery, West China Hospital, Sichuan University, Chengdu, China.
A randomised cross-over trial assessing the impact of AI-generated individual feedback on written online assignments for medical students.
Med Teach
January 2025
Institute of Medical Education, University Hospital Bonn, Bonn, Germany.
Purpose: Self-testing has been proven to significantly improve not only simple learning outcomes, but also higher-order skills such as clinical reasoning in medical students. Previous studies have shown that self-testing was especially beneficial when it was presented with feedback, which leaves the question whether an immediate and personalized feedback further encourages this effect. Therefore, we hypothesised that individual feedback has a greater effect on learning outcomes, compared to generic feedback.
View Article and Find Full Text PDFA dataset of annotated free comments on the sensory perception of madeleines for benchmarking text mining techniques.
Data Brief
February 2025
Oniris, INRAE, StatSC, 44300 Nantes, France.
This dataset was created to investigate the impact of data collection modes and pre-processing techniques on the quality of free comment data related to consumers' sensory perceptions. A total of 200 consumers were recruited and divided into two groups of 100. Each group evaluated six madeleine samples (five distinct samples and one replicate) in a sensory analysis laboratory, using different free comment data collection modes.
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