Federated Learning Survival Model and Potential Radiotherapy Decision Support Impact Assessment for Non-small Cell Lung Cancer Using Real-World Data
CONCLUSION: Federated learning over multiple institution data can be used to develop and validate decision support systems for lung cancer while quantifying the potential impact of their use in practice. This paves the way for personalised medicine, where decisions can be based more closely on individual patient details from routine care.PMID:38631978 | DOI:10.1016/j.clon.2024.03.008 (Source: Cancer Control)
Source: Cancer Control - April 17, 2024 Category: Cancer & Oncology Authors: M Field S Vinod G P Delaney N Aherne M Bailey M Carolan A Dekker S Greenham E Hau J Lehmann J Ludbrook A Miller A Rezo J Selvaraj J Sykes D Thwaites L Holloway Source Type: research
Deep learning assists detection of esophageal cancer and precursor lesions in a prospective, randomized controlled study
Sci Transl Med. 2024 Apr 17;16(743):eadk5395. doi: 10.1126/scitranslmed.adk5395. Epub 2024 Apr 17.ABSTRACTEndoscopy is the primary modality for detecting asymptomatic esophageal squamous cell carcinoma (ESCC) and precancerous lesions. Improving detection rate remains challenging. We developed a system based on deep convolutional neural networks (CNNs) for detecting esophageal cancer and precancerous lesions [high-risk esophageal lesions (HrELs)] and validated its efficacy in improving HrEL detection rate in clinical practice (trial registration ChiCTR2100044126 at www.chictr.org.cn). Between April 2021 and March 2022, 3117...
Source: Cancer Control - April 17, 2024 Category: Cancer & Oncology Authors: Shao-Wei Li Li-Hui Zhang Yue Cai Xian-Bin Zhou Xin-Yu Fu Ya-Qi Song Shi-Wen Xu Shen-Ping Tang Ren-Quan Luo Qin Huang Ling-Ling Yan Sai-Qin He Yu Zhang Jun Wang Shu-Qiong Ge Bin-Bin Gu Jin-Bang Peng Yi Wang Li-Na Fang Wei-Dan Wu Wen-Guang Ye Min Zhu Ding-H Source Type: research
Immune Regulation Patterns in Response to Environmental Pollutant Chromate Exposure-Related Genetic Damage: A Cross-Sectional Study Applying Machine Learning Methods
This study, using machine learning, investigated immune regulation and its potential role in chromate-induced genetic damage, providing insights into complex relationships and emphasizing the need for further research.PMID:38629869 | DOI:10.1021/acs.est.4c00433 (Source: Cancer Control)
Source: Cancer Control - April 17, 2024 Category: Cancer & Oncology Authors: Zekang Su Yali Zhang Shiyi Hong Qiaojian Zhang Zhiqiang Ji Guiping Hu Xiaojun Zhu Fang Yuan Shanfa Yu Tianchen Wang Li Wang Guang Jia Source Type: research
The selective serotonin reuptake inhibitor sertraline alters learning from aversive reinforcements in patients with depression: evidence from a randomized controlled trial
CONCLUSIONS: The study findings indicate a relationship between aversive reinforcement learning mechanisms and aspects of depression, anxiety, and SSRI treatment, but these relationships did not align with the initial hypotheses. Poor task performance limits the interpretability and likely generalizability of the findings, and highlights the critical importance of developing acceptable and reliable tasks for use in clinical studies.FUNDING: This article presents research supported by NIHR Program Grants for Applied Research (RP-PG-0610-10048), the NIHR BRC, and UCL, with additional support from IMPRS COMP2PSYCH (JM, QH) an...
Source: Psychological Medicine - April 17, 2024 Category: Psychiatry Authors: Jolanda Malamud Gemma Lewis Michael Moutoussis Larisa Duffy Jessica Bone Ramya Srinivasan Glyn Lewis Quentin J M Huys Source Type: research
Twenty First Century Technological Toolbox Innovation for Transanal Minimally Invasive Surgery (TAMIS)
Surg Technol Int. 2024 Apr 16;44:sti44/1760. Online ahead of print.ABSTRACTTransanal minimally invasive surgery (TAMIS) is an effective procedure that plays an important role in the care of patients with significant rectal neoplasia and polyps including early-stage cancers. However, it is perhaps underutilised and under threat from both advanced flexible endoscopic procedures and proceduralists (who often act as gatekeepers for referral to colorectal surgeons), as well as from robotic surgery proponents. TAMIS advocates can learn and adopt practice insights from both these fields and incorporate available technological inn...
Source: Surgical Technology International - April 17, 2024 Category: Surgery Authors: Alice Moynihan Patrick Boland Ronan A Cahill Source Type: research
Severity of Antipsychotic-Induced Cervical Dystonia Assessed by the Algorithm-Based Rating System
Conclusion: While further validation with new cases is needed, the range of tilt angles in this study could provide a standard for future artificial intelligence devices for cervical dystonia.PMID:38629708 | DOI:10.4088/JCP.23m14929 (Source: Journal of Clinical Psychiatry)
Source: Journal of Clinical Psychiatry - April 17, 2024 Category: Psychiatry Authors: Toshiya Inada Yuta Tanabe Yuji Fukaya Kazuyoshi Ogasawara Nobutomo Yamamoto Source Type: research
Vakayil K. Praveen
Angew Chem Int Ed Engl. 2024 Apr 16:e202406217. doi: 10.1002/anie.202406217. Online ahead of print.ABSTRACT"I am waiting for the day when someone will invent a 'truly living artificial cell'… My favorite saying is: 'Live as if you were to die tomorrow. Learn as if you were to live forever.' " Find out more about Vakayil K. Praveen in his Introducing… Profile.PMID:38627983 | DOI:10.1002/anie.202406217 (Source: Angewandte Chemie)
Source: Angewandte Chemie - April 17, 2024 Category: Chemistry Source Type: research
A prediction model for CO < sub > 2 < /sub > /CO adsorption performance on binary alloys based on machine learning
In this study, an ML model was developed to predict the CO2 and CO adsorption affinity on single-atom doped binary alloys based on the thermochemical properties of component metals. By using a greedy algorithm, the best combination of features was determined, and the ML model was trained and verified based on a data set containing 78 alloys on which the adsorption energy values of CO2 and CO were calculated from DFT. Comparison between predicted and DFT calculated adsorption energy values suggests that the extreme gradient boosting (XGBoost) algorithm has excellent generalization performance, and the R-squared (R2) for CO2...
Source: Adv Data - April 17, 2024 Category: Epidemiology Authors: Xiaofeng Cao Wenjia Luo Huimin Liu Source Type: research
Machine learning ‐driven diagnostic signature provides new insights in clinical management of hypertrophic cardiomyopathy
ConclusionsOur study revealed a number of hub genes and novel pathways to provide potential targets for the treatment of HCM. A stable model was developed, providing an efficient tool for the diagnosis of HCM. (Source: ESC Heart Failure)
Source: ESC Heart Failure - April 17, 2024 Category: Cardiology Authors: Shutong Liu,
Peiyu Yuan,
Youyang Zheng,
Chunguang Guo,
Yuqing Ren,
Siyuan Weng,
Yuyuan Zhang,
Long Liu,
Zhe Xing,
Libo Wang,
Xinwei Han Tags: Original Article Source Type: research
Nerolidol rescues hippocampal injury of diabetic rats through inhibiting NLRP3 inflammasome and regulation of MAPK/AKT pathway
In conclusion, our study reveals for the first time that nerolidol can ameliorate hippocampal damage, neuroinflammation, synaptic, ER, and mitochondrial damage in diabetic rats. Furthermore, we suggest that nerolidol may inhibit NLRP3 inflammasome activation via MAPK and AKT signaling pathways. These findings provide a new experimental basis for the use of nerolidol to ameliorate diabetes-induced brain tissue damage and the associated disease. AbstractDespite the observation of diabetes-induced brain tissue damage and impaired learning and memory, the underlying mechanism of damage remains elusive, and effective, targeted ...
Source: BioFactors - April 17, 2024 Category: Biochemistry Authors: Yining Lei,
Manqin Li,
Xinran Liu,
Lu Zhang,
Ruyi Zhang,
Fei Cai Tags: RESEARCH ARTICLE Source Type: research
GSE262759 Shared Transcriptomic Signatures of Inflammaging Among Diverse Strains of Drosophila melanogaster
Contributors : Sabrina I Perna ; Weihao Tang ; Andrew Li ; Sydney D Blimbaum ; Lei ZhouSeries Type : Expression profiling by high throughput sequencingOrganism : Drosophila melanogasterBackground: A prominent hallmark of aging is inflammaging —the increased expression of innate immune genes without identifiable infection. Model organisms with shorter lifespans, such as the fruit fly, provide an essential platform for probing the mechanisms of inflammaging. Multiple groups have reported that, like mammalian models, old flies have signif icantly higher levels of expression of anti-microbial peptide genes. However, wheth...
Source: GEO: Gene Expression Omnibus - April 17, 2024 Category: Genetics & Stem Cells Tags: Expression profiling by high throughput sequencing Drosophila melanogaster Source Type: research
Interface design of SARS-CoV-2 symmetrical nsp7 dimer and machine learning-guided nsp7 sequence prediction reveals physicochemical properties and hotspots for nsp7 stability, adaptation, and therapeutic design
Phys. Chem. Chem. Phys., 2024, Accepted Manuscript DOI: 10.1039/D4CP01014K, PaperAmar Jeet Yadav, Shivank Kumar, Shweata Maurya, Khushboo Bhagat, Aditya Padhi The COVID-19 pandemic, driven by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), necessitates a profound understanding of the virus and its lifecycle. As an RNA virus with high mutation rates,... The content of this RSS Feed (c) The Royal Society of Chemistry (Source: RSC - Phys. Chem. Chem. Phys. latest articles)
Source: RSC - Phys. Chem. Chem. Phys. latest articles - April 17, 2024 Category: Chemistry Authors: Amar Jeet Yadav Source Type: research
TSS-ConvNet for electrical impedance tomography image reconstruction
The objective of this study was to propose a novel data-driven method for solving ill-posed inverse problems, particularly in certain conditions such as time-difference electrical impedance tomography for detecting the location and size of bubbles inside a pipe. Approach. We introduced a new layer architecture composed of three paths: spatial, spectral, and truncated spectral paths. The spatial path processes information locally, whereas the spectral and truncated spectral paths provide the network with a global receptive field. This unique architecture helps eliminate the ill-posedness and nonlinearity inherent in the inv...
Source: Physiological Measurement - April 17, 2024 Category: Physiology Authors: Ayman A Ameen, Achim Sack and Thorsten P öschel Source Type: research
The development of tissue handling skills is sufficient and comparable after training in virtual reality or on a surgical robotic system: a prospective randomized trial
ConclusionRobotic tissue handling skills improve significantly and comparably after both VR training and training on a real robotic system, but training on a VR simulator might be less efficient. (Source: Surgical Endoscopy)
Source: Surgical Endoscopy - April 17, 2024 Category: Surgery Source Type: research
Deciphering the influence: academic stress and its role in shaping learning approaches among nursing students: a cross-sectional study
Nursing education presents unique challenges, including high levels of academic stress and varied learning approaches among students. Understanding the relationship between academic stress and learning approac... (Source: BMC Nursing)
Source: BMC Nursing - April 17, 2024 Category: Nursing Authors: Rawhia Salah Dogham, Heba Fakieh Mansy Ali, Asmaa Saber Ghaly, Nermine M. Elcokany, Mohamed Mahmoud Seweid and Ayman Mohamed El-Ashry Tags: Research Source Type: research
