Preclinical Performance of the Combined Application of Two Robotic Systems in Microsurgery: A Two-center Study
CONCLUSIONS: The concept of robotic microsurgery holds great potential to improve precision and ergonomics in microsurgery. This two-center trial provides promising evidence for a steep learning curve upon introduction of robotic microsurgery systems, suggesting further pursuit of their clinical integration.PMID:38689940 | PMC:PMC11057809 | DOI:10.1097/GOX.0000000000005775 (Source: Hand Surgery)
Source: Hand Surgery - May 1, 2024 Category: Surgery Authors: Kai J Wessel Viola A St ögner Catherine T Yu Bohdan Pomahac Tobias Hirsch Haripriya S Ayyala Maximilian Kueckelhaus Source Type: research
Corrigendum: Identification of immune-related genes in diagnosing atherosclerosis with rheumatoid arthritis through bioinformatics analysis and machine learning
Front Immunol. 2024 Apr 16;15:1400160. doi: 10.3389/fimmu.2024.1400160. eCollection 2024.ABSTRACT[This corrects the article DOI: 10.3389/fimmu.2023.1126647.].PMID:38690278 | PMC:PMC11060148 | DOI:10.3389/fimmu.2024.1400160 (Source: Atherosclerosis)
Source: Atherosclerosis - May 1, 2024 Category: Cardiology Authors: Fuze Liu Yue Huang Fuhui Liu Hai Wang Source Type: research
Pilot testing of mobile app-based blended learning on selected skills of cardiopulmonary resuscitation among nursing students
Conclusion Both mobile app-based and internet link-based learning resource material along with hands-on sessions were effective in bringing comparable improvement in knowledge, skills, self-confidence and satisfaction of students in performing the selected skills of cardiopulmonary resuscitation.PMID:38692615 | DOI:10.25259/NMJI_659_21 (Source: Cancer Control)
Source: Cancer Control - May 1, 2024 Category: Cancer & Oncology Authors: Poonam Joshi Smita DAS Shashi Mawar Lakshmanan Gopichandran Rakesh Garg Rashmi Ramachandran Ambuj Roy Source Type: research
Novel predictive approaches for drug-induced convulsions in non-human primates using machine learning and heart rate variability analysis
J Toxicol Sci. 2024;49(5):231-240. doi: 10.2131/jts.49.231.ABSTRACTDrug-induced convulsions are a major challenge to drug development because of the lack of reliable biomarkers. Using machine learning, our previous research indicated the potential use of an index derived from heart rate variability (HRV) analysis in non-human primates as a biomarker for convulsions induced by GABAA receptor antagonists. The present study aimed to explore the application of this methodology to other convulsants and evaluate its specificity by testing non-convulsants that affect the autonomic nervous system. Telemetry-implanted males were ad...
Source: Journal of Toxicological Sciences - May 1, 2024 Category: Toxicology Authors: Kazuhiro Kuga Motohiro Shiotani Kentaro Hori Hiroshi Mizuno Yusaku Matsushita Harushige Ozaki Kohei Hayashi Takatomi Kubo Manabu Kano Source Type: research
Obstacles of Online Learning Facing Nursing Students after the COVID-19 Pandemic
CONCLUSIONS: According to their perceptions of online learning, nursing students in Jordan face three types of obstacles: academic, technical, and administrative. Decision-makers should intervene to enhance the online learning experience by overcoming the reported obstacles.PMID:38689662 | PMC:PMC11057952 | DOI:10.1155/2024/5387908 (Source: The Scientific World Journal)
Source: The Scientific World Journal - May 1, 2024 Category: Science Authors: Haitham Khatatbeh Murad Alkhalaileh Ibrahim Ayasreh Atallah Habahbeh Laith Alosoufe Nisser Alhroub Mohammed Albashtawy Manar Abu-Abbas Tariq Al-Dwaikat Amira Mohammed Ali Source Type: research
Parotid Gland Segmentation Using Purely Transformer-Based U-Shaped Network and Multimodal MRI
Ann Biomed Eng. 2024 May 1. doi: 10.1007/s10439-024-03510-3. Online ahead of print.ABSTRACTParotid gland tumors account for approximately 2% to 10% of head and neck tumors. Segmentation of parotid glands and tumors on magnetic resonance images is essential in accurately diagnosing and selecting appropriate surgical plans. However, segmentation of parotid glands is particularly challenging due to their variable shape and low contrast with surrounding structures. Recently, deep learning has developed rapidly, and Transformer-based networks have performed well on many computer vision tasks. However, Transformer-based networks...
Source: Annals of Biomedical Engineering - May 1, 2024 Category: Biomedical Engineering Authors: Zi'an Xu Yin Dai Fayu Liu Siqi Li Sheng Liu Lifu Shi Jun Fu Source Type: research
Proton versus photon adjuvant radiotherapy: a multicenter comparative evaluation of recurrence following spinal chordoma resection
CONCLUSIONS: Following resection, adjuvant proton therapy was associated with a lower risk of chordoma recurrence compared with photon therapy. The described machine learning models were able to predict tumor progression based on the extent of tumor resection and adjuvant radiotherapy modality used.PMID:38691864 | DOI:10.3171/2024.2.FOCUS23927 (Source: Neurosurgical Focus)
Source: Neurosurgical Focus - May 1, 2024 Category: Neurosurgery Authors: Abdul Karim Ghaith Ryan Nguyen Victor Gabriel El-Hajj Alaa Montaser Gaetano De Biase Krishnan Ravindran Carlos Perez-Vega Seung Jin Lee Asmina Dominari Umberto Battistin Paola Su árez-Meade Charbel Moussalem Naresh P Patel Maziyar A Kalani Michelle J Cla Source Type: research
Left bundle branch pacing set to outshine biventricular pacing for cardiac resynchronization therapy?
World J Cardiol. 2024 Apr 26;16(4):186-190. doi: 10.4330/wjc.v16.i4.186.ABSTRACTThe deleterious effects of long-term right ventricular pacing necessitated the search for alternative pacing sites which could prevent or alleviate pacing-induced cardiomyopathy. Until recently, biventricular pacing (BiVP) was the only modality which could mitigate or prevent pacing induced dysfunction. Further, BiVP could resynchronize the baseline electromechanical dssynchrony in heart failure and improve outcomes. However, the high non-response rate of around 20%-30% remains a major limitation. This non-response has been largely attributable...
Source: World Journal of Cardiology - May 1, 2024 Category: Cardiology Authors: Akash Batta Juniali Hatwal Source Type: research
Familiarity, confidence and preference of artificial intelligence feedback and prompts by Australian breast cancer screening readers
ConclusionThe majority of screen readers expressed increased confidence in utilising AI for highlighting suspicious areas on mammograms and for automatically classifying mammograms. They considered AI as an optimal second-reader mode being the most ideal use in a screening program. The findings provide valuable insights into the familiarities and expectations of radiologists and breast clinicians for the AI products that can enhance the effectiveness of the breast cancer screening programs, benefitting both healthcare professionals and patients alike.PMID:38692648 | DOI:10.1071/AH23275 (Source: Australian Health Review)
Source: Australian Health Review - May 1, 2024 Category: Hospital Management Authors: Phuong Dung Yun Trieu Melissa L Barron Zhengqiang Jiang Seyedamir Tavakoli Taba Ziba Gandomkar Sarah J Lewis Source Type: research
Predicting carbon dioxide emissions in the United States of America using machine learning algorithms
Environ Sci Pollut Res Int. 2024 Apr 30. doi: 10.1007/s11356-024-33460-1. Online ahead of print.ABSTRACTCarbon dioxide (CO2) emissions result from human activities like burning fossil fuels. CO2 is a greenhouse gas, contributing to global warming and climate change. Efforts to reduce CO2 emissions include transitioning to renewable energy. Monitoring and reducing CO2 emissions are crucial for mitigating climate change. Strategies include energy efficiency and renewable energy adoption. In the past few decades, several nations have experienced air pollution and environmental difficulties because of carbon dioxide (CO2) emis...
Source: Environmental Science and Pollution Research International - May 1, 2024 Category: Environmental Health Authors: Bosah Philip Chukwunonso Ibrahim Al-Wesabi Li Shixiang Khalil AlSharabi Abdullrahman A Al-Shamma'a Hassan M Hussein Farh Fahman Saeed Tarek Kandil Abdullah M Al-Shaalan Source Type: research
Cryo-EM images of phase separated lipid bilayer vesicles analyzed with a machine learning approach
Biophys J. 2024 Apr 30:S0006-3495(24)00291-1. doi: 10.1016/j.bpj.2024.04.029. Online ahead of print.ABSTRACTLateral lipid heterogeneity (i.e., raft formation) in biomembranes plays a functional role in living cells. Three-component mixtures of low- and high-melting lipids plus cholesterol offer a simplified experimental model for raft domains in which a liquid-disordered (Ld) phase coexists with a liquid-ordered (Lo) phase. Using such models, we recently showed that cryogenic electron microscopy (cryo-EM) can detect phase separation in lipid vesicles based on differences in bilayer thickness. However, the considerable nois...
Source: Biophysical Journal - May 1, 2024 Category: Physics Authors: Karan D Sharma Milka Doktorova M Neal Waxham Frederick A Heberle Source Type: research
DeepOCR: A multi-species deep-learning framework for accurate identification of open chromatin regions in livestock
Comput Biol Chem. 2024 Apr 19;110:108077. doi: 10.1016/j.compbiolchem.2024.108077. Online ahead of print.ABSTRACTA wealth of experimental evidence has suggested that open chromatin regions (OCRs) are involved in many critical biological activities, such as DNA replication, enhancer activity, and gene transcription. Accurately identifying OCRs in livestock species can provide critical insights into the distribution and characteristics of OCRs for disease treatment in livestock, thereby improving animal welfare. However, most current machine-learning methods for OCR prediction were originally designed for a limited number of...
Source: Computational Biology and Chemistry - May 1, 2024 Category: Bioinformatics Authors: Liangwei Zhao Ran Hao Ziyi Chai Weiwei Fu Wei Yang Chen Li Quanzhong Liu Yu Jiang Source Type: research
Preclinical Performance of the Combined Application of Two Robotic Systems in Microsurgery: A Two-center Study
CONCLUSIONS: The concept of robotic microsurgery holds great potential to improve precision and ergonomics in microsurgery. This two-center trial provides promising evidence for a steep learning curve upon introduction of robotic microsurgery systems, suggesting further pursuit of their clinical integration.PMID:38689940 | PMC:PMC11057809 | DOI:10.1097/GOX.0000000000005775 (Source: Hand Surgery)
Source: Hand Surgery - May 1, 2024 Category: Surgery Authors: Kai J Wessel Viola A St ögner Catherine T Yu Bohdan Pomahac Tobias Hirsch Haripriya S Ayyala Maximilian Kueckelhaus Source Type: research
Mitochondrial antioxidant elamipretide improves learning and memory impairment induced by chronic sleep deprivation in mice
ConclusionTaken together, these results suggest that SS-31 could improve CSD-induced mitochondrial biogenesis dysfunction, inflammatory response, synaptic dysfunction, and cognitive impairment by increasing SIRT1 expression levels. (Source: Brain and Behavior)
Source: Brain and Behavior - May 1, 2024 Category: Neurology Authors: Yue ‐Ming Zhang,
Ya‐Tao Wang,
Ru‐Meng Wei,
Xue‐Yan Li,
Bao‐Ling Luo,
Jing‐Ya Zhang,
Kai‐Xuan Zhang,
Shi‐Kun Fang,
Xue‐Chun Liu,
Gui‐Hai Chen Tags: ORIGINAL ARTICLE Source Type: research
Improving the reliability of deep learning computational ghost imaging with prediction uncertainty based on neighborhood feature maps
Defect inspection is required in various fields, and many researchers have attempted deep-learning algorithms for inspections. ... (Source: Applied Optics)
Source: Applied Optics - May 1, 2024 Category: Physics Authors: Shoma Kataoka Yasuhiro Mizutani Tsutomu Uenohara Erick Ipus Koichi Nitta Osamu Matoba Yasuhiro Takaya Enrique Tajahuerce Source Type: research
