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Specialty: Molecular Biology
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Total 1129 results found since Jan 2013.
Distinct subtypes of spatial brain metabolism patterns in Alzheimer's disease identified by deep learning-based FDG PET clusters
CONCLUSION: We identified distinct subtypes of AD with different clinicopathologic features. The deep learning-based approach to distinguish AD subtypes on FDG PET could have implications for predicting individual outcomes and provide a clue to understanding the heterogeneous pathophysiology of AD.PMID:37735259 | DOI:10.1007/s00259-023-06440-9
Source: Molecular Medicine - September 21, 2023 Category: Molecular Biology Authors: Hyun Gee Ryoo Hongyoon Choi Kuangyu Shi Axel Rominger Dong Young Lee Dong Soo Lee Alzheimer ’s Disease Neuroimaging Initiative Source Type: research
PET/CT-based deep learning grading signature to optimize surgical decisions for clinical stage I invasive lung adenocarcinoma and biologic basis under its prediction: a multicenter study
CONCLUSION: The DLGS harbors the potential to predict the histologic grade and personalize the surgical treatments for clinical stage I invasive lung adenocarcinoma. Its applicability to other territories should be further validated by a larger international study.PMID:37725128 | DOI:10.1007/s00259-023-06434-7
Source: Molecular Medicine - September 19, 2023 Category: Molecular Biology Authors: Yifan Zhong Chuang Cai Tao Chen Hao Gui Cheng Chen Jiajun Deng Minglei Yang Bentong Yu Yongxiang Song Tingting Wang Yangchun Chen Huazheng Shi Dong Xie Chang Chen Yunlang She Source Type: research
Deep Learning-Based Feature Extraction from Whole-Body PET/CT Employing Maximum Intensity Projection Images: Preliminary Results of Lung Cancer Data
CONCLUSION: A 2-D image-based pre-trained model could extract image patterns of whole-body FDG PET volume by using anterior and lateral views of MIP images bypassing the direct use of 3-D PET volume that requires large datasets and resources. We suggest that this approach could be implemented as a backbone model for various applications for whole-body PET image analyses.PMID:37720886 | PMC:PMC10504178 | DOI:10.1007/s13139-023-00802-9
Source: Molecular Medicine - September 18, 2023 Category: Molecular Biology Authors: Joonhyung Gil Hongyoon Choi Jin Chul Paeng Gi Jeong Cheon Keon Wook Kang Source Type: research
Medical education empowered by generative artificial intelligence large language models
Trends Mol Med. 2023 Sep 15:S1471-4914(23)00211-3. doi: 10.1016/j.molmed.2023.08.012. Online ahead of print.ABSTRACTGenerative artificial intelligence (GAI) large language models (LLMs), like ChatGPT, have become the world's fastest growing applications. Here, we provide useful strategies for educators in medical and health science (M&HS) to integrate GAI-LLMs into learning and teaching practice, ultimately enhancing students' digital capability.PMID:37718142 | DOI:10.1016/j.molmed.2023.08.012
Source: Molecular Medicine - September 17, 2023 Category: Molecular Biology Authors: Tanisha Jowsey Jessica Stokes-Parish Rachelle Singleton Michael Todorovic Source Type: research
Constructing phylogenetic networks via cherry picking and machine learning
CONCLUSIONS: Unlike the existing exact methods, our heuristics are applicable to datasets of practical size, and the experimental study we conducted on both simulated and real data shows that these solutions are qualitatively good, always within some small constant factor from the optimum. Moreover, our machine-learned heuristics are one of the first applications of machine learning to phylogenetics and show its promise.PMID:37717003 | PMC:PMC10505335 | DOI:10.1186/s13015-023-00233-3
Source: Algorithms for Molecular Biology : AMB - September 16, 2023 Category: Molecular Biology Authors: Giulia Bernardini Leo van Iersel Esther Julien Leen Stougie Source Type: research
Demystifying the impact of prenatal tobacco exposure on the placental immune microenvironment: Avoiding the tragedy of mending the fold after death
This study aims to meticulously examine the repercussions of PTE on placental immune landscapes, employing a coordinated research methodology encompassing bioinformatics, machine learning and animal studies. Concurrently, it aims to screen biomarkers and potential compounds that could sensitively indicate and mitigate placental immune disorders. In the course of this research, two gene expression omnibus (GEO) microarrays, namely GSE27272 and GSE7434, were included. Gene set enrichment analysis (GSEA) and immune enrichment investigations on differentially expressed genes (DEGs) indicated that PTE might perturb numerous inn...
Source: J Cell Mol Med - September 13, 2023 Category: Molecular Biology Authors: Xiaoxuan Zhao Yuepeng Jiang Xiao Ma Qujia Yang Xinyi Ding Hanzhi Wang Xintong Yao Linxi Jin Qin Zhang Source Type: research
