A5101444168- Epigenetics and DNA Methylation
- Cancer Genomics and Diagnostics
- RNA modifications and cancer
- Fetal and Pediatric Neurological Disorders
- Ovarian cancer diagnosis and treatment
- Cervical Cancer and HPV Research
- Cancer Treatment and Pharmacology
- Artificial Intelligence in Healthcare and Education
- Microstructure and mechanical properties
- Radiomics and Machine Learning in Medical Imaging
- Endometrial and Cervical Cancer Treatments
- Congenital Heart Disease Studies
- Cancer-related molecular mechanisms research
- Cancer-related gene regulation
- Cancer, Lipids, and Metabolism
- Metal and Thin Film Mechanics
- Metallurgy and Material Forming
- Cancer-related Molecular Pathways
- COVID-19 diagnosis using AI
- Microtubule and mitosis dynamics
- Glioma Diagnosis and Treatment
- AI in cancer detection
- Genetic factors in colorectal cancer
- Technology Assessment and Management
- Genomics and Chromatin Dynamics
RIKEN Center for Advanced Intelligence Project
2019-2025
National Cancer Research Institute
2024
Thai-Nichi Institute of Technology
2023-2024
National Institute for Japanese Language and Linguistics
2023
Hodges University
2023
National Cancer Centre Japan
2022-2023
National Institute of Technology
2022
Juntendo University
2009-2021
University of Chicago
2013-2017
Shikoku Cancer Center
2016
<h3>Importance</h3> With cure rates of childhood acute lymphoblastic leukemia (ALL) exceeding 85%, there is a need to mitigate treatment toxicities that can compromise quality life, including peripheral neuropathy from vincristine treatment. <h3>Objective</h3> To identify genetic germline variants associated with the occurrence or severity vincristine-induced in children ALL. <h3>Design, Setting, and Participants</h3> Genome-wide association study patients 1 2 prospective clinical trials for...
Artificial Intelligence (AI) technologies have recently been applied to medical imaging for diagnostic support. With respect fetal ultrasound screening of congenital heart disease (CHD), it is still challenging achieve consistently accurate diagnoses owing its manual operation and the technical differences among examiners. Hence, we proposed an architecture Supervised Object detection with Normal data Only (SONO), based on a convolutional neural network (CNN), detect cardiac substructures...
There are no effective agents to prevent or treat chemotherapy-induced peripheral neuropathy (CIPN), the most common non-hematologic toxicity of chemotherapy. Therefore, we sought evaluate utility human neuron-like cells derived from induced pluripotent stem (iPSCs) as a means study CIPN. We used high content imaging measurements neurite outgrowth phenotypes compare changes that occur iPSC-derived neuronal among drugs and individuals in response several classes chemotherapeutics. Upon...
Diagnostic support tools based on artificial intelligence (AI) have exhibited high performance in various medical fields. However, their clinical application remains challenging because of the lack explanatory power AI decisions (black box problem), making it difficult to build trust with professionals. Nevertheless, visualizing internal representation deep neural networks will increase and improve confidence professionals decisions. We propose a novel learning-based explainable “graph chart...
Image segmentation is the pixel-by-pixel detection of objects, which most challenging but informative in fundamental tasks machine learning including image classification and object detection. Pixel-by-pixel required to apply support fetal cardiac ultrasound screening; we have detect substructures precisely are small change shapes dynamically with heartbeats, such as ventricular septum. This task difficult for general methods DeepLab v3+, U-net. Hence, here proposed a novel method named...
The generation of induced pluripotent stem cells (iPSCs) and differentiation to composing major organs has opened up the possibility for a new model system study adverse toxicities associated with chemotherapy. Therefore, we used human iPSC-derived neurons peripheral neuropathy, one most common effects chemotherapy cause dose reduction. To determine utility these in investigating neurotoxic chemotherapy, measured morphological differences neurite outgrowth, cell viability as determined by...
Mortality attributed to lung cancer accounts for a large fraction of deaths worldwide. With increasing mortality figures, the accurate prediction prognosis has become essential. In recent years, multi-omics analysis emerged as useful survival tool. However, methodology relevant not yet been fully established and further improvements are required clinical applications. this study, we developed novel method accurately predict patients with using data. unsupervised learning techniques,...
Abstract Background We investigated the utility of a molecular classifier tool and genetic alterations for predicting prognosis in Japanese patients with endometrial cancer. Methods A total 1029 cancer from two independent cohorts were classified into four subtype groups. The primary secondary endpoints relapse-free survival (RFS) overall (OS), respectively. Results Among 265 who underwent initial surgery, according to immunohistochemistry, DNA polymerase epsilon exonuclease domain mutation...
Lung cancer is one of the leading causes death worldwide. Therefore, understanding factors linked to patient survival essential. Recently, multi-omics analysis has emerged, allowing for groups be classified according prognosis and at a more individual level, support use precision medicine. Here, we combined RNA expression miRNA with clinical information, conduct analysis, using publicly available datasets (the genome atlas (TCGA) focusing on lung adenocarcinoma (LUAD)). We were able...
Abstract The clinical features of sporadic mismatch repair deficiency (MMRd) and Lynch syndrome (LS) in Japanese patients with endometrial cancer (EC) were examined by evaluating the prevalence prognostic factors LS MMRd EC. Targeted sequencing five susceptibility genes ( MLH1 , MSH2 MSH6 PMS2 EPCAM ) was carried out 443 EC who pathologically diagnosed at National Cancer Center Hospital between 2011 2018. Pathogenic variants these detected 16 (3.7%). Immunohistochemistry for MMR proteins...
<b>BACKGROUND AND PURPOSE:</b> The precise clinical characteristics of acute encephalopathy with bilateral reduced diffusion are not fully understood. We compared clinical, laboratory, and neuroimaging findings according to the patterns brain lesions among children in hemispheres. <b>MATERIALS METHODS:</b> Nine patients were analyzed. divided into diffuse central-sparing lesions. Diffuse defined as whole cortex and/or subcortical white matter. Central-sparing lack areas around Sylvian...
Abstract Purpose: Paclitaxel is used worldwide in the treatment of breast, lung, ovarian, and other cancers. Sensory peripheral neuropathy an associated adverse effect that cannot be predicted, prevented, or mitigated. To better understand contribution germline genetic variation to paclitaxel-induced neuropathy, we undertook integrative approach combines genome-wide association study (GWAS) data generated from HapMap lymphoblastoid cell lines (LCL) Asian patients. Methods: GWAS was performed...
The application of segmentation methods to medical imaging has the potential create novel diagnostic support models. With respect fetal ultrasound, thoracic wall is a key structure on assessment chest region for examiners recognize relative orientation and size structures inside thorax, which are critical components in neonatal prognosis. In this study, improve performance ultrasound videos, we proposed model-agnostic method using deep learning techniques: Multi-Frame + Cylinder (MFCY)....
RNA modifications have attracted increasing interest in recent years because they been frequently implicated various human diseases, including cancer, highlighting the importance of dynamic post‑transcriptional modifications. Methyltransferase‑like 6 (METTL6) is a member methyltransferase family that has identified many cancers; however, little known about its specific role or mechanism action. In present study, we aimed to study expression levels and functional METTL6 hepatocellular...
Acoustic shadows are common artifacts in medical ultrasound imaging. The caused by objects that reflect such as bones, and they shown dark areas images. Detecting is crucial for assessing the quality of This will be a pre-processing further image processing or recognition aiming computer-aided diagnosis. In this paper, we propose an auto-encoding structure estimates shadowed their intensities. model once splits input into estimated shadow shadow-free through its encoder decoder. Then, it...