keyword
https://read.qxmd.com/read/38648065/antihypertensive-medication-and-fracture-risk-in-older-veterans-health-administration-nursing-home-residents
#1
JOURNAL ARTICLE
Chintan V Dave, Yongmei Li, Michael A Steinman, Sei J Lee, Xiaojuan Liu, Bocheng Jing, Laura A Graham, Zachary A Marcum, Kathy Z Fung, Michelle C Odden
IMPORTANCE: Limited evidence exists on the association between initiation of antihypertensive medication and risk of fractures in older long-term nursing home residents. OBJECTIVE: To assess the association between antihypertensive medication initiation and risk of fracture. DESIGN, SETTING, AND PARTICIPANTS: This was a retrospective cohort study using target trial emulation for data derived from 29 648 older long-term care nursing home residents in the Veterans Health Administration (VA) from January 1, 2006, to October 31, 2019...
April 22, 2024: JAMA Internal Medicine
https://read.qxmd.com/read/38648030/effects-of-tirofiban-on-neurological-deterioration-in-patients-with-acute-ischemic-stroke-a-randomized-clinical-trial
#2
JOURNAL ARTICLE
Wenbo Zhao, Sijie Li, Chuanhui Li, Chuanjie Wu, Junmei Wang, Lifei Xing, Yue Wan, Jinhui Qin, Yaoming Xu, Ruixian Wang, Changming Wen, Aihua Wang, Lan Liu, Jing Wang, Haiqing Song, Wuwei Feng, Qingfeng Ma, Xunming Ji
IMPORTANCE: Evidence supports using antiplatelet therapy in patients with acute ischemic stroke. However, neurological deterioration remains common under the currently recommended antiplatelet regimen, leading to poor clinical outcomes. OBJECTIVE: To determine whether intravenous tirofiban administered within 24 hours of stroke onset prevents early neurological deterioration in patients with acute noncardioembolic stroke compared with oral aspirin. DESIGN, SETTING, AND PARTICIPANTS: This investigator-initiated, multicenter, open-label, randomized clinical trial with blinded end-point assessment was conducted at 10 comprehensive stroke centers in China between September 2020 and March 2023...
April 22, 2024: JAMA Neurology
https://read.qxmd.com/read/38648017/an-innovative-breast-cancer-detection-framework-using-multiscale-dilated-densenet-with-attention-mechanism
#3
JOURNAL ARTICLE
Subhashini Ramachandran, Rajasekar Velusamy, Namakkal Venkataraman Srinivasan Sree Rathna Lakshmi, Chakaravarthi Sivanandam
Cancer-related deadly diseases affect both developed and underdeveloped nations worldwide. Effective network learning is crucial to more reliably identify and categorize breast carcinoma in vast and unbalanced image datasets. The absence of early cancer symptoms makes the early identification process challenging. Therefore, from the perspectives of diagnosis, prevention, and therapy, cancer continues to be among the healthcare concerns that numerous researchers work to advance. It is highly essential to design an innovative breast cancer detection model by considering the complications presented in the classical techniques...
April 22, 2024: Network: Computation in Neural Systems
https://read.qxmd.com/read/38647987/joint-eurados-eanm-initiative-for-an-advanced-computational-framework-for-the-assessment-of-external-dose-rates-from-nuclear-medicine-patients
#4
JOURNAL ARTICLE
Lara Struelens, Christelle Huet, David Broggio, Jérémie Dabin, Laurent Desorgher, Augusto Giussani, Wei Bo Li, Dietmar Nosske, Yi-Kang Lee, Lidia Cunha, Maria J R Carapinha, Mario Medvedec, Peter Covens
BACKGROUND: In order to ensure adequate radiation protection of critical groups such as staff, caregivers and the general public coming into proximity of nuclear medicine (NM) patients, it is necessary to consider the impact of the radiation emitted by the patients during their stay at the hospital or after leaving the hospital. Current risk assessments are based on ambient dose rate measurements in a single position at a specified distance from the patient and carried out at several time points after administration of the radiopharmaceutical to estimate the whole-body retention...
April 22, 2024: EJNMMI Physics
https://read.qxmd.com/read/38647958/selpercatinib-for-treating-recurrent-mixed-medullary-and-follicular-cell-derived-thyroid-carcinoma-a-case-report
#5
JOURNAL ARTICLE
Mei Kadoya, Nobuyasu Suganuma, Yuka Matsubara, Hiroki Takase, Eita Kumagai, Soji Toda, Haruhiko Yamazaki, Katsuhiko Masudo, Satoshi Fujii, Aya Saito
BACKGROUND: Mixed medullary and follicular cell-derived thyroid carcinoma (MMFCC) is characterized by the coexistence of follicular and C cell-derived tumour cell populations within the same lesion. Due to its rarity, its etiology and clinical course remain unclear, and treatment for advanced or recurrent cases has not been established. CASE PRESENTATION: We report a case of MMFCC treated with selpercatinib. The patient was a 69-year-old male presenting with tumors in the right thyroid lobe and in the upper mediastinum...
April 22, 2024: Surgical Case Reports
https://read.qxmd.com/read/38647954/enhancing-mesenchymal-stem-cells-cultivated-on-microcarriers-in-spinner-flasks-via-impeller-design-optimization-for-aggregated-suspensions
#6
JOURNAL ARTICLE
Botao Zhang, Qiaohui Lu, Gance Dai, Yi Zhou, Qian Ye, Yan Zhou, Wen-Song Tan
During the ex vivo expansion of umbilical cord-derived mesenchymal stem cells (hUCMSCs) in a stirred tank bioreactor, the formation of cell-microcarrier aggregates significantly affects cell proliferation and physiological activity, making it difficult to meet the quantity and quality requirements for in vitro research and clinical applications. In this study, computational fluid dynamic (CFD) simulations were used to investigate the effect of an impeller structure in a commercial spinner flask on flow field structure, aggregate formation, and cellular physiological activity...
December 3, 2023: Bioresources and Bioprocessing
https://read.qxmd.com/read/38647929/the-potential-ghgs-reduction-of-co-processing-aviation-biofuel-in-life-cycle
#7
JOURNAL ARTICLE
Ziyu Liu, Xiaoyi Yang
The challenge of drop-in jet biofuel should couple the reduction of GHGs emission in whole life cycle with economic competitiveness and achieving performance without reducing performance of engine and aircraft. Co-processing was recognized a promising solution due to availability of existing refining infrastructure and facilities. Based on the LCA approach, the quantitative LCA assessment model (AF-3E) has been established for discovering potential GHGs reduction by co-processing. Typical representatives of oily feedstock, including used cooking oil, soybean, rapeseed, peanut, corn oil, Xanthoceras sorbifolia, jatropha and algae, were compared co-processing with HEFA-SPK blend on GHGs and energy consumption in the whole life...
August 30, 2023: Bioresources and Bioprocessing
https://read.qxmd.com/read/38647719/application-of-the-stanford-biodesign-framework-in-healthcare-innovation-training-and-commercialization-of-market-appropriate-products-a-scoping-review
#8
REVIEW
Joelle Yan Xin Chua, Enci Mary Kan, Phin Peng Lee, Shefaly Shorey
The Stanford Biodesign needs-centric framework can guide healthcare innovators to successfully adopt the 'Identify, Invent and Implement' framework and develop new healthcare innovations products to address patients' needs. This scoping review explored the application of the Stanford Biodesign framework for healthcare innovation training and the development of novel healthcare innovative products. Seven electronic databases were searched from their respective inception dates till April 2023: PubMed, Embase, CINAHL, PsycINFO, Web of Science, Scopus, ProQuest Dissertations, and Theses Global...
April 22, 2024: Journal of Medical Systems
https://read.qxmd.com/read/38647700/de-novo-drug-design-as-gpt-language-modeling-large-chemistry-models-with-supervised-and-reinforcement-learning
#9
JOURNAL ARTICLE
Gavin Ye
In recent years, generative machine learning algorithms have been successful in designing innovative drug-like molecules. SMILES is a sequence-like language used in most effective drug design models. Due to data's sequential structure, models such as recurrent neural networks and transformers can design pharmacological compounds with optimized efficacy. Large language models have advanced recently, but their implications on drug design have not yet been explored. Although one study successfully pre-trained a large chemistry model (LCM), its application to specific tasks in drug discovery is unknown...
April 22, 2024: Journal of Computer-aided Molecular Design
https://read.qxmd.com/read/38647658/clarifying-the-anatomy-of-tetralogy-of-fallot-with-s-shaped-ascending-aorta
#10
JOURNAL ARTICLE
Saurabh Kumar Gupta, Aprateem Mukherjee, Niraj Nirmal Pandey, Sivasubramanian Ramakrishnan, Shyam Sunder Kothari, Anita Saxena, Robert H Anderson
We recently encountered several cases of tetralogy of Fallot with an abnormally oriented S-shaped ascending aorta. In this retrospective study, we sought to clarify morphology of this unusual under-recognized variant. Databases were reviewed to identify all patients with tetralogy of Fallot having an S-shaped ascending aorta. Computed tomographic angiography was used for the assessment of cardiac morphology. Out of the 21 patients, 18 (86%) had a right aortic arch, 2 (9%) had a left aortic arch, and the remaining patient (5%) had a double aortic arch...
April 22, 2024: Pediatric Cardiology
https://read.qxmd.com/read/38647635/resting-state-eeg-assisted-imagined-vowel-phonemes-recognition-by-native-and-non-native-speakers-using-brain-connectivity-measures
#11
JOURNAL ARTICLE
Ruchi Juyal, Hariharan Muthusamy, Niraj Kumar, Ashutosh Tiwari
Communication is challenging for disabled individuals, but with advancement of brain-computer interface (BCI) systems, alternative communication systems can be developed. Current BCI spellers, such as P300, SSVEP, and MI, have drawbacks like reliance on external stimuli or conversation irrelevant mental tasks. In contrast to these systems, Imagined speech based BCI systems rely on directly decoding the vowels/words user is thinking, making them more intuitive, user friendly and highly popular among Brain-Computer-Interface (BCI) researchers...
April 22, 2024: Physical and engineering sciences in medicine
https://read.qxmd.com/read/38647483/causal-relationships-in-longitudinal-observational-data-an-integrative-modeling-approach
#12
JOURNAL ARTICLE
Claudinei E Biazoli, João R Sato, Michael Pluess
Much research in psychology relies on data from observational studies that traditionally do not allow for causal interpretation. However, a range of approaches in statistics and computational sciences have been developed to infer causality from correlational data. Based on conceptual and theoretical considerations on the integration of interventional and time-restrainment notions of causality, we set out to design and empirically test a new approach to identify potential causal factors in longitudinal correlational data...
April 22, 2024: Psychological Methods
https://read.qxmd.com/read/38647433/practical-three-component-regioselective-synthesis-of-drug-like-3-aryl-or-heteroaryl-5-6-dihydrobenzo-h-cinnolines-as-potential-non-covalent-multi-targeting-inhibitors-to-combat-neurodegenerative-diseases
#13
JOURNAL ARTICLE
Hossein Mousavi, Mehdi Rimaz, Behzad Zeynizadeh
Neurodegenerative diseases (NDs) are one of the prominent health challenges facing contemporary society, and many efforts have been made to overcome and (or) control it. In this research paper, we described a practical one-pot two-step three-component reaction between 3,4-dihydronaphthalen-1(2 H )-one ( 1 ), aryl(or heteroaryl)glyoxal monohydrates ( 2a - h ), and hydrazine monohydrate (NH2 NH2 •H2 O) for the regioselective preparation of some 3-aryl(or heteroaryl)-5,6-dihydrobenzo[ h ]cinnoline derivatives ( 3a - h )...
April 22, 2024: ACS Chemical Neuroscience
https://read.qxmd.com/read/38647430/identifying-and-assessing-putative-allosteric-sites-and-modulators-for-cxcr4-predicted-through-network-modeling-and-site-identification-by-ligand-competitive-saturation
#14
JOURNAL ARTICLE
Tugce Inan, Robin Flinko, George K Lewis, Alexander D MacKerell, Ozge Kurkcuoglu
The chemokine receptor CXCR4 is a critical target for the treatment of several cancer types and HIV-1 infections. While orthosteric and allosteric modulators have been developed targeting its extracellular or transmembrane regions, the intramembrane region of CXCR4 may also include allosteric binding sites suitable for the development of allosteric drugs. To investigate this, we apply the Gaussian Network Model (GNM) to the monomeric and dimeric forms of CXCR4 to identify residues essential for its local and global motions located in the hinge regions of the protein...
April 22, 2024: Journal of Physical Chemistry. B
https://read.qxmd.com/read/38647417/an-analysis-of-chatgpt4-to-respond-to-glaucoma-related-questions
#15
JOURNAL ARTICLE
Suleyman Gokhan Kerci, Berna Sahan
PRECIS: In recent years, ChatGPT has been widely used as a source of information. In our study, it was revealed that ChatGPT gives accurate information about glaucoma. PURPOSE: We examined the knowledge of ChatGPT about glaucoma. PATIENTS AND METHODS: Frequently asked questions about glaucoma found on websites of ophthalmology associations and hospitals, and social media applications were assessed. Evidence-Based Recommendations in the European Glaucoma Society Terminology and Guidelines for Glaucoma 5th Edition were evaluated...
April 23, 2024: Journal of Glaucoma
https://read.qxmd.com/read/38647369/design-of-a-hemispherical-shell-shaped-natural-ventilation-temperature-observation-instrument
#16
JOURNAL ARTICLE
Zilan Ma, Jie Yang, Lixia Jiang, Qingquan Liu, Renhui Ding
Atmospheric temperature is fundamental information for various industries, such as production, life, and scientific research. The temperature error induced by the solar rays can reach 1 °C or even higher. A hemispherical shell-shaped atmospheric temperature measuring instrument that can reduce heat pollution and increase air velocity was designed. First, the instrument was optimized using computational fluid dynamics (CFD) software packages. Then, the CFD software packages were employed to quantify the temperature errors of the instrument with varying situations...
April 1, 2024: Review of Scientific Instruments
https://read.qxmd.com/read/38647368/lossy-compression-of-infrared-videos-in-west-w-environment-in-steady-state-tokamak
#17
JOURNAL ARTICLE
Victor Moncada, Xavier Courtois, Leo Dubus, Raphael Mitteau
During the 2019 C4 experimental campaign of the WEST (W Environment in Steady-state Tokamak) (France), the infrared diagnostic produced more than seven terabytes of uncompressed video data. Constraints on the computer infrastructure required for storage, backup, and especially offline access to infrared videos made the use of a compression algorithm mandatory. This paper proposes an innovative method to compress infrared videos with controlled temperature precision. This compression method is based on a controlled averaging of the video that maximizes the compression potential of standard lossless video codecs such as H264/AVC or HEVC...
April 1, 2024: Review of Scientific Instruments
https://read.qxmd.com/read/38647342/ab-initio-multireference-calculation-of-electronic-spectra-of-the-osmium-complexes-os-bpy-3-_3-2-2-and-os-phen-3-_3-2-2
#18
JOURNAL ARTICLE
Saša Terek, Milan Milovanović
The spin-orbit coupling corrected absorption spectra of osmium complexes, [Os(bpy) <mml:math xmlns:mml="https://www.w3.org/1998/Math/MathML"> <mml:semantics> <mml:mrow><mml:msub><mml:mrow/> <mml:mrow><mml:mn>3</mml:mn></mml:mrow> </mml:msub> </mml:mrow> <mml:annotation>$$ {}_3 $$</mml:annotation></mml:semantics> </mml:math> ] <mml:math xmlns:mml="https://www.w3.org/1998/Math/MathML"> <mml:semantics> <mml:mrow><mml:msup><mml:mrow/> <mml:mrow><mml:mn>2</mml:mn> <mml:mo>+</mml:mo></mml:mrow> </mml:msup> </mml:mrow> <mml:annotation>$$ {}^{2+} $$</mml:annotation></mml:semantics> </mml:math> and [Os(phen) <mml:math xmlns:mml="https://www...
April 22, 2024: Journal of Computational Chemistry
https://read.qxmd.com/read/38647338/accurate-prediction-of-dynamic-protein-ligand-binding-using-p-score-ranking
#19
JOURNAL ARTICLE
Peter E G F Ibrahim, Fabio Zuccotto, Ulrich Zachariae, Ian Gilbert, Mike Bodkin
Protein-ligand binding prediction typically relies on docking methodologies and associated scoring functions to propose the binding mode of a ligand in a biological target. Significant challenges are associated with this approach, including the flexibility of the protein-ligand system, solvent-mediated interactions, and associated entropy changes. In addition, scoring functions are only weakly accurate due to the short time required for calculating enthalpic and entropic binding interactions. The workflow described here attempts to address these limitations by combining supervised molecular dynamics with dynamical averaging quantum mechanics fragment molecular orbital...
April 22, 2024: Journal of Computational Chemistry
https://read.qxmd.com/read/38647289/feasibility-clinical-potential-and-limitations-of-trans-burr-hole-ultrasound-for-postoperative-evaluation-of-chronic-subdural-hematoma-a-prospective-pilot-study
#20
JOURNAL ARTICLE
Stefan Aspalter, Matthias Gmeiner, Stefan Gasser, Michael Sonnberger, Nico Stroh, Philip Rauch, Andreas Gruber, Harald Stefanits
BACKGROUND AND OBJECTIVES: Chronic subdural hematoma (CSDH) is commonly managed through burr hole surgery. Routine follow-up using computed tomography (CT) imaging is frequently used at many institutions, contributing to significant radiation exposure. This study evaluates the feasibility, safety, and reliability of trans-burr hole sonography as an alternative postoperative imaging modality, aiming to reduce radiation exposure by decreasing the frequency of CT scans. METHODS: We conducted a prospective pilot study on 20 patients who underwent burr hole surgery for CSDH...
April 22, 2024: Neurosurgery
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