A Self-Sovereign Identity–Blockchain-Based Model Proposal for Deep Digital Transformation in the Healthcare Sector by Luisanna Cocco, Roberto Tonelli

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An Observer-Based Event Triggered Mechanism for the Detection and Mitigation of FDI Attacks in Deep Brain Stimulation Systems by Ping Yu, Ding Yang, Khalid A. Alattas, Ardashir Mohammadzadeh, Afef Fekih

“…Deep brain stimulation (DBS) is recognized as one of the prominent solutions to treat Parkinson’s disease. …”
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A two phase ensembled deep learning approach of prominent gene extraction and disease risk prediction by Prajna Paramita DEBATA, Alakananda TRIPATHY, Pournamasi PARHI, Smruti Rekha DAS

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A narrative review of glucagon-like peptide-1 receptor agonists prior to deep sedation or general anesthesia by Luigi Vetrugno, Cristian Deana, Andrea Da Porto, Enrico Boero, Valentina Bellini, Daniele Guerino Biasucci, Elena Giovanna Bignami

“…However, because glucagon-like peptide-1 receptor agonists work to slow gastric emptying, a safety concern has been raised in patients undergoing deep sedation or general anesthesia regarding gastric aspiration, and considering their long half-life in the blood, they are difficult to manage in the perioperative period. …”
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Thalamic deep brain stimulation for postural tremor caused by hyperthermia-induced cerebellar dysfunction: A case report by Mitsuyoshi Tamura, Shigeki Hirano, Yoshihisa Kitayama, Marie Morooka, Tomoki Suichi, Kazumoto Shibuya, Yoshinori Higuchi, Satoshi Kuwabara

“…Background: The efficacy of deep brain stimulation (DBS) in treating tremor symptoms in cerebellar disorders remains unclear. …”
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DESMITIFICANDO A LA DEEP WEB A TRAVÉS DE UN FUGAZ VIAJE POR LA DARK WEB by John Alexander Rico Franco

“…At the moment when topics related to the Deep Web and the darkNets are treated, the imagination of the one who doesn’tknow it’s reality, is projected towards a gloomy environment of the Internet, with the setting of a CiberPunk anime film ofthe nineties; activity that is completely logical and normal, because in search of covering the gaps in knowledge, peoplerefer to folk and fictional stories from multiple sources, in particular, television series, mystery novels, among otherproducts from science fiction; references that have a lot of exaggeration and rarely a bit of reality, which increases themyths concerning the Deep and Dark Webs; this is because most of the people take these fictitious references as realities,because these sectors of cyberspace are still a myth unexplored by the most of their casual navigators.This is why we seek to demystify the conception of the Deep Web and the darkNets and give clarity to a very interestingand dangerous online ecosystem at the same time, because in this mythical sector of cyberspace you can find largevolumes of useful information but also allows the free management of criminal commercial services. …”
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Are Patients Ready for “EARLYSTIM”? Attitudes towards Deep Brain Stimulation among Female and Male Patients with Moderately Advanced Parkinson’s Disease by Maria Sperens, Katarina Hamberg, Gun-Marie Hariz

“…To explore, in female and male patients with medically treated, moderately advanced Parkinson’s disease (PD), their knowledge and reasoning about Deep Brain Stimulation (DBS). …”
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Surgical Site Infection Owing to Mycobacterium mageritense After Immediate Breast Reconstruction Using a Deep Inferior Epigastric Perforator Flap by Anna Suzuki, MD, Takako Komiya, MD, PhD, Hiroaki Fujita, MD, PhD, Kazuki Shimada, MD, PhD, Masahito Nonaka, MD, Mai Hanano, MD, Meisei Takeishi, MD, PhD, Takashi Ishikawa, MD, PhD, Hajime Matsumura, MD, PhD

“…A 51-year-old woman underwent nipple-sparing mastectomy and immediate breast reconstruction using a deep inferior epigastric perforator flap for invasive ductal carcinoma of the left breast. …”
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Eliciting the views of left breast cancer patients' receiving deep inspiration breath hold radiation therapy to inform the design of multimedia education and improve patient‐centre... by Kathleene Dower, Georgia K.B. Halkett, Haryana Dhillon, Diana Naehrig, Moira O'Connor

“…This study explored the experiences of patients treated with Deep Inspiration Breath Hold Radiation Therapy (DIBH‐RT) to improve patient‐centred care and inform the design of multimedia educational tools for future patients undergoing DIBH. …”
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TCMHTI: a Transformer-based herb-target interaction prediction model for Qingfu Juanbi Decoction in rheumatoid arthritis by Zhenzhong Liang, Changsong Ding

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An AI-based module for interstitial glucose forecasting enabling a “Do-It-Yourself” application for people with type 1 diabetes by Antonio J. Rodriguez-Almeida, Guillermo V. Socorro-Marrero, Carmelo Betancort, Garlene Zamora-Zamorano, Alejandro Deniz-Garcia, María L. Álvarez-Malé, Eirik Årsand, Eirik Årsand, Cristina Soguero-Ruiz, Ana M. Wägner, Ana M. Wägner, Conceição Granja, Conceição Granja, Gustavo M. Callico, Himar Fabelo, Himar Fabelo, Himar Fabelo

“…Type 1 diabetes (T1D) needs to be treated with insulin. Keeping glucose within the desired range is challenging. …”
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Optimizing blood-brain barrier permeability in KRAS inhibitors: A structure-constrained molecular generation approach by Xia Sheng, Yike Gui, Jie Yu, Yitian Wang, Zhenghao Li, Xiaoya Zhang, Yuxin Xing, Yuqing Wang, Zhaojun Li, Mingyue Zheng, Liquan Yang, Xutong Li

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Histopathological-based brain tumor grading using 2D-3D multi-modal CNN-transformer combined with stacking classifiers by Naira Elazab, Fahmi Khalifa, Wael Gab Allah, Mohammed Elmogy

“…Abstract Reliability in diagnosing and treating brain tumors depends on the accurate grading of histopathological images. …”
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Protocol for a multicentre, randomised, parallel-control, superiority trial comparing administration of clotting factor concentrates with a standard massive haemorrhage protocol in... by Neil Parry, Andrew Beckett, Jo Carroll, Homer Tien, Jeannie Callum, Andrew Petrosoniak, Damon Scales, Luis Teodoro da Luz, Keyvan Karkouti, Paul T Engels, Hans-Peter Hucke, Deep Grewal, Bruce Schwartz, Henry Peng

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Invasive Treatment of Lower Limb Varicose Veins - Comparison of Treatment Methods by Ewa Piekarska, Krzysztof Dobrzeniecki, Remigiusz Luter

“…Brief description of the state of knowledge: Numerous methods for treating lower limb varicose veins are available. …”
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RELAPSED/REFRACTORY CHRONIC LYMPHOCYTIC LEUKEMIA: CHEMOIMMUNOTHERAPY, TREATMENT UNTIL PROGRESSION WITH MECHANISM-DRIVEN AGENTS OR FINITE-DURATION THERAPY? by Antonio Cuneo, Robin Foà

“…While a deep knowledge of the growing body of scientific evidence is required to inform and guide the appropriate treatment choice and management, physicians cannot disregard the growing problem of sustainability…”
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Control of Active Suspension Systems Based on Mechanical Wave Concepts by Hossein Habibi

“…This is accomplished while adhering to WBC principles: relying solely on actuator-interface measurements, simplicity, cost-effectiveness, with no need for detailed system models, extensive sensors, or deep system knowledge.…”
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The Role of Artificial Intelligence in Enhancing Diabetic Retinopathy Lesion Detection: A Review by Lakshmi K Santhiya, Sargunam B

“…This review's objective is to go over the numerous Deep learning techniques for automated computer-aided analysis of microaneurysms, haemorrhages, and exudates were also addressed, along with a knowledge gap in DR identification. …”
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Diagnosis, treatment and management of apathy in Parkinson’s disease: a scoping review by Zahinoor Ismail, Jayna Holroyd-Leduc, Tamara Pringsheim, Zahra Goodarzi, Bria Mele, Shinia Van

“…RCTs applied treatment methods including: exercise, mindfulness, rotigotine (Neupro) transdermal patch and rivastigmine (Exelon).Conclusions This review identified a large body of literature describing current knowledge on diagnosing, treating and managing apathy in PD. …”
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Transforming label-efficient decoding of healthcare wearables with self-supervised learning and “embedded” medical domain expertise by Xiao Gu, Zhangdaihong Liu, Jinpei Han, Jianing Qiu, Wenfei Fang, Lei Lu, Lei Clifton, Yuan-Ting Zhang, David A. Clifton

“…Abstract Healthcare wearables are transforming health monitoring, generating vast and complex data in everyday free-living environments. While supervised deep learning has enabled tremendous advances in interpreting such data, it remains heavily dependent on large labeled datasets, which are often difficult and expensive to obtain in clinical practice. …”
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