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
Analyzing the risk factors of unilateral trigeminal neuralgia under neurovascular compression
ConclusionOur findings suggest that the side of NVC, the compressing vessel, and the microstructure of the cisternal segment of CN V are associated with the risk of C-ITN. Furthermore, microstructural changes observed in the cisternal segment of CN V on the unaffected side of C-ITN patients with NVC indicate possible indirect effects on the CN V to some extent. (Source: Frontiers in Human Neuroscience)
Source: Frontiers in Human Neuroscience - April 17, 2024 Category: Neuroscience 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
Antimicrobial Activity Classification of Imidazolium Derivatives Predicted by Artificial Neural Networks
ConclusionsThe study concludes that the MLP neural network, along with CART and PCA, is a robust tool for predicting the antimicrobial activity class of imidazolium chlorides against Klebsiella pneumoniae. CART and PCA, used in this study, allowed input variable reduction without significant information loss. High classification accuracy and associated metrics affirm the method ’s potential utility in pre-synthesis assessments, offering valuable insights for antimicrobial compound design. (Source: Pharmaceutical Research)
Source: Pharmaceutical Research - April 17, 2024 Category: Drugs & Pharmacology Source Type: research
The implications of machine learning in predicting glioblastoma recurrence: a correspondence
(Source: Neurosurgical Review)
Source: Neurosurgical Review - April 17, 2024 Category: Neurosurgery Source Type: research
MMM and MMMSynth: Clustering of heterogeneous tabular data, and synthetic data generation
by Chandrani Kumari, Rahul Siddharthan
We provide new algorithms for two tasks relating to heterogeneous tabular datasets: clustering, and synthetic data generation. Tabular datasets typically consist of heterogeneous data types (numerical, ordinal, categorical) in columns, but may also have hidden cluster structure in their rows: for example, they may be drawn from heterogeneous (geographical, socioeconomic, methodological) sources, such that the outcome variable they describe (such as the presence of a disease) may depend not only on the other variables but on the cluster context. Moreover, sharing of biomedical data is...
Source: PLoS One - April 17, 2024 Category: Biomedical Science Authors: Chandrani Kumari Source Type: research
