Publications by authors named "Kodera S"

: Laurocapram (Azone) attracted attention 40 years ago as a compound with the highest skin-penetration-enhancing effect at that time; however, its development was shelved due to strong skin irritation. We had already prepared and tested an ante-enhancer (IL-Azone), an ionic liquid (IL) with a similar structure to Azone, consisting of ε-caprolactam and myristic acid, as an enhancer candidate that maintains the high skin-penetration-enhancing effect of Azone with low skin irritation. In the present study, fatty acids with different carbon numbers (caprylic acid: C8, capric acid: C10, lauric acid: C12, myristic acid: C14, and oleic acid: C18:1) were selected and used with ε-caprolactam to prepare various IL-Azones in the search for a more effective IL-Azone.

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Key Points: Empagliflozin is cost-effective for the treatment of CKD in patients with an urine albumin-to-creatinine ratio of 30 mg/g or more. Empagliflozin is not cost-effective for the treatment of CKD in patients with an urine albumin-to-creatinine ratio <30 mg/g.

Background: The Study of Heart and Kidney Protection with Empagliflozin (EMPA-KIDNEY) expanded the CKD population that may benefit from sodium-glucose cotransporter 2 inhibitors in terms of eGFR and urine albumin-to-creatinine ratio.

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  • * The study included 230 SSc patients and trained a convolutional neural network to identify PH, achieving an AUC of 0.826, which is slightly better than cardiologists' assessments (0.804).
  • * The deep learning model not only effectively detected PH but also showed a promising prognosis with a 5-year survival rate of around 83-85% for patients diagnosed with PH, indicating its potential clinical utility.
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  • Research shows that COVID-19 exposure increases the risk of type 2 diabetes (T2D), especially in males, but this risk varies by viral variant and age.
  • A study conducted in Japan analyzed data from health insurance records, finding that most new cases of T2D post-infection occurred shortly after exposure, with risk peaking during earlier variants.
  • The results indicate that the relationship between COVID-19 and diabetes differs across time periods and does not show a consistent trend in older adults, highlighting the complex biological effects of the virus.
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  • The study focuses on enhancing deep neural network algorithms in medical applications, particularly in electrocardiography (ECG) analysis for detecting left ventricular systolic dysfunction (LVSD).
  • Researchers applied self-supervised learning through masked autoencoders (MAEs) and pretrained Vision Transformer (ViT) models using limited ECG data from The University of Tokyo Hospital.
  • The MAE-based models achieved significantly better performance in detecting LVSD compared to other methods, showing strong results across multiple external validation datasets and maintaining high accuracy on benchmark datasets.
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Introduction: The intestinal immune system plays a pivotal role in the induction of immune responses against food. In the case of T cell response, dendritic cells (DCs) are especially important. However, the regulation of immune responses to food by intestinal DCs has been poorly described.

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A novel coronavirus discovered in late 2019 (COVID-19) quickly spread into a global epidemic and, thankfully, was brought under control by 2022. Because of the virus's unknown mutations and the vaccine's waning potency, forecasting is still essential for resurgence prevention and medical resource management. Computational efficiency and long-term accuracy are two bottlenecks for national-level forecasting.

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Background: EXCOR Pediatric is one of the most commonly used ventricular assist devices (VAD) for small children; it requires visual inspection of the diaphragm movement to assess its operating status. Although this visual inspection can only be performed by trained medical professionals, it can also be attempted by the recent advances in computer vision technology.

Methods: Movement of the diaphragm in the operating EXCOR VAD was recorded as movies and annotated frame-by-frame in three classes according to the state of the diaphragm: "fill," "mid," and "empty.

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Purpose: To verify the usefulness of a deep learning model for determining the presence or absence of contrast-enhanced myocardium in late gadolinium-enhancement images in cardiac MRI.

Methods: We used 174 late gadolinium-enhancement myocardial short-axis images obtained from contrast-enhanced cardiac MRI performed using a 3.0T MRI system at the University of Tokyo Hospital.

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  • Ischemic heart disease is a major global health issue, and this study aimed to assess the accuracy of SurvTrace, a deep learning model, in predicting recurrent cardiovascular events compared to a traditional scoring system.
  • The research involved analyzing data from nearly 4,000 patients who underwent procedures for heart issues, monitoring them for major adverse events over two years while comparing two predictive models.
  • Results showed SurvTrace had a higher prognostic accuracy (c-index of 0.72) than the conventional model (c-index of 0.64) and was better at distinguishing high-risk patients from others, making it a promising tool for improving patient outcomes.
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Temporal interference stimulation (TIS) uses two pairs of conventional transcranial alternating current stimulation (tACS) electrodes, each with a different frequency, to generate a time-varying electric field (EF) envelope (EFE). The EFE focality in primary somatosensory and motor cortex areas of a standard human brain was computed using newly defined linear alignment montages. Sixty head volume conductor models constructed from magnetic resonance images were considered to evaluate interindividual variability.

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An electrocardiogram (ECG) is used to observe the electrical activity of the heart via electrodes on the body surface. Recently, an ECG with fewer electrodes, such as a bipolar ECG in which two electrodes are attached to the chest, has been employed as wearable devices. However, the effect of different geometrical factors and electrode-pair locations on the amplitude and waveform of ECG signals remains unclear.

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Electrode montage optimization for transcranial electric stimulation (tES) is a challenging topic for targeting a specific brain region. Targeting the deep brain region is difficult due to tissue inhomogeneity, resulting in complex current flow. In this study, a simplified protocol for montage optimization is proposed for multichannel tES (mc-tES).

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The application of 28 GHz millimeter-wave is prevalent owing to the global spread of fifth-generation wireless communication systems. Its thermal effect is a dominant factor which potentially causes pain and tissue damage to the body parts exposed to the millimeter waves. However, the threshold of this thermal sensation, that is, the degree of change in skin temperature from the baseline at which the first subjective response to the thermal effects of the millimeter waves occurs, remains unclear.

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  • The study explores the use of deep neural networks (DNNs) for multimodality risk assessment in patients with ischemic heart disease (IHD), incorporating both 12-lead ECGs and chest X-rays (CXRs) to predict major adverse cardiovascular events (MACEs).
  • Researchers categorized 2,107 patients into four risk groups based on DNN outputs, revealing that the Dual-modality high-risk group had the highest incidence of MACEs.
  • The analysis showed that the Dual-modality high-risk group had a significantly higher risk of MACEs compared to other risk groups, highlighting the potential benefit of using a multimodal approach for assessing patient risk in IHD.
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. Electroencephalograms (EEGs) are often used to monitor brain activity. Several source localization methods have been proposed to estimate the location of brain activity corresponding to EEG readings.

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Aims: Gastrointestinal disease is a leading cause of morbidity in bottlenose dolphins (Tursiops truncatus) under managed care. Fecal microbiota transplantation (FMT) holds promise as a therapeutic tool to restore gut microbiota without antibiotic use. This prospective clinical study aimed to develop a screening protocol for FMT donors to ensure safety, determine an effective FMT administration protocol for managed dolphins, and evaluate the efficacy of FMTs in four recipient dolphins.

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Recently, global warming has become a prominent topic, including its impacts on human health. The number of heat illness cases requiring ambulance transport has been strongly linked to increasing temperature and the frequency of heat waves. Thus, a potential increase in the number of cases in the future is a concern for medical resource management.

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  • The increasing number of cancer patients with severe aortic stenosis and atrial fibrillation presents challenges in treatment, especially with the aging population.
  • Transcatheter aortic valve replacement (TAVR) is a viable option for high-risk patients, including those with cancer, but antithrombotic therapy management is complex due to risks of thrombosis and bleeding.
  • A case study highlights an elderly patient with metastatic pancreatic cancer and atrial fibrillation who experienced valve thrombosis and arterial embolism post-TAVR; successful treatment with warfarin after thrombectomy indicates a need for new management strategies for similar patients.
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Epidemiological studies have reported that the frequency of nuclear cataracts (NUCs) is high among the elderly and in tropical countries. Ultraviolet (UV) irradiation and lens temperature are considered as key physical contributors, although their precise quantification is difficult. The aim of this study is to investigate the association of NUC prevalence with UV irradiation and heat load.

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  • Left heart abnormalities can lead to heart failure, but traditional echocardiography isn't always accessible; hence, wearable devices that record ECGs might help in identifying these issues.* -
  • Researchers created models using data from over 229,000 ECG and echocardiography pairs to detect specific heart conditions like low ejection fraction and left ventricular hypertrophy, achieving high accuracy rates in their predictions.* -
  • The models demonstrated performance either better or comparable to that of cardiologists analyzing standard 12-lead ECGs, suggesting they could be a valuable tool for remote heart health monitoring.*
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  • Climate impacts cardiovascular events, but traditional predictive methods are often inaccurate.
  • Researchers analyzed nearly 28,000 acute heart failure admissions in Tokyo from 2014 to 2019, comparing deep neural networks (DNN) to traditional regression for accuracy in predicting high-risk days.
  • The DNN model proved more effective than logistic regression, particularly highlighting that low ambient temperatures significantly influence AHF admissions.
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Introduction: Neuroendocrine carcinoma (NEC) is characterized by a poor prognosis and is generally treated with platinum and etoposide combination therapy as first-line chemotherapy. However, it remains uncertain whether carboplatin and etoposide combination therapy (CE) and cisplatin and etoposide combination therapy (PE) have comparable treatment efficacy. In this retrospective analysis, we compared the efficacy and safety of CE and PE in patients with NEC.

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Background: Revascularization with endovascular therapy (EVT) for complex below-the-knee (BTK) chronic total occlusion (CTO) remains a challenging problem. The Japanese-BTK (J-BTK) CTO score is reported as an indicator of the difficulty of BTK CTO, with the guidewire (GW) passage success rate decreasing as the grade increases. We previously reported an effective GW crossing method for the intravascular ultrasound (IVUS)-guided parallel wiring of complex BTK CTO.

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