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Reply to Caruso Bavisotto et al.: Toward exploring the potential of muscle-secreting exosomes in the muscle-brain axis.
Proc Natl Acad Sci U S A
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Department of Chemical and Biomolecular Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801.
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Proc Natl Acad Sci U S A
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Institute for Learning & Brain Sciences, University of Washington, Seattle, WA 98195.
Reply to: "Correspondence to bipolar disorder-iPSC derived neural progenitor cells exhibit dysregulation of store-operated Ca entry and accelerated differentiation" by Yde Ohki and colleagues.
Mol Psychiatry
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Department of Molecular and Cellular Biology, University of Guelph, Guelph, ON, Canada.
Reply to "Matters arising: cost-effectiveness of first-line immunotherapy combinations with or without chemotherapy for advanced non-small cell lung cancer: a modelling approach".
BMC Cancer
July 2024
Department of Health Service Management, School of Health Management, China Medical University, Shenyang, China.
In this article, we read with great attention the correspondence by Bullement et al., regarding our published study on cost-effectiveness of first-line immunotherapy combinations with or without chemotherapy for advanced non-small cell lung cancer. We referred to a few the most important comments from Bullement et al.
View Article and Find Full Text PDFEarly Breast Cancer Risk Assessment: Integrating Histopathology with Artificial Intelligence.
Cancers (Basel)
May 2024
Division of Pathology, European Institute of Oncology IRCCS, 20141 Milan, Italy.
Effective risk assessment in early breast cancer is essential for informed clinical decision-making, yet consensus on defining risk categories remains challenging. This paper explores evolving approaches in risk stratification, encompassing histopathological, immunohistochemical, and molecular biomarkers alongside cutting-edge artificial intelligence (AI) techniques. Leveraging machine learning, deep learning, and convolutional neural networks, AI is reshaping predictive algorithms for recurrence risk, thereby revolutionizing diagnostic accuracy and treatment planning.
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