Ryuji Hamamoto 研究室

主宰者：Ryuji Hamamoto

理化学研究所・RIKEN Center for Advanced Intelligence Project

AI 要約（直近 5 年の研究成果）

Hamamoto研究室は、がん診断や予後予測の精密化、および先天性心疾患の出生前スクリーニングの効率化を目指し、機械学習や深層学習などの人工知能技術を医療画像・遺伝子データに応用する研究を行っています。医学画像（超音波検査、MRI、CT）から自動的に診断に必要な情報を抽出・分析するシステムの開発のほか、腫瘍組織のRNA・タンパク質発現パターンや遺伝子変異を大規模に解析し、がんの個人差を把握する研究に取り組んでいます。具体的には、肺腺がんや卵巣がん、大腸がんなど複数のがん種において、遺伝子配列の異常や異常な遺伝子発現がどのように腫瘍の性質や治療への反応性を決定するのかを多角的に調査しています。RNA処理異常の検出、免疫細胞の浸潤パターンの分析、治療効果や再発予測のための分子マーカー探索など、多層的な「オミクス」データを組み合わせた統合的解析を行い、個々の患者に適した治療選択につなげることを目指しています。また、医用画像診断における人工知能の臨床応用に関しても、複数の医療機関でのデータを用いた汎用性検証や、システムの安全性・有効性評価の枠組みづくりに携わっており、精密医療の社会実装を支える基盤構築に貢献しています。

※ AI（Claude）が、公開されている論文要旨から研究の問い・手法・主要な発見を事実情報として抽出・再構成して自動生成しています。誤りを含む可能性があるため、正確性は研究室公式情報でご確認ください。

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研究成果（104 件）

[2026] Metabolomic and transcriptomic analyses identify metabolic alterations and immune suppression in ovarian cancer
DOI: https://doi.org/10.1038/s41598-026-38014-8
[2026] Correction: Komatsu et al. Three-Dimensional Visualization and Detection of the Pulmonary Venous–Left Atrium Connection Using Artificial Intelligence in Fetal Cardiac Ultrasound Screening. Bioengineering 2026, 13, 100
DOI: https://doi.org/10.3390/bioengineering13060672
[2026] A clinically applicable and generalizable deep learning model for anterior mediastinal tumors in CT images across multiple institutions
DOI: https://doi.org/10.1038/s41598-026-37504-z
[2026] Deciphering RNA and protein expression discordance identifies TOP2A as a prognostic biomarker and potential therapeutic target in lung adenocarcinoma
DOI: https://doi.org/10.1007/s12672-026-04470-x
[2026] Validation of the postoperative prognostication tool PREDICT version 2.2 and 3.0 using data from the National cancer center hospital in Japan
DOI: https://doi.org/10.1007/s12282-026-01823-w
[2026] A positional and combinatorial regulatory code for alternative splicing
DOI: https://doi.org/10.64898/2026.06.10.729476
[2026] SMYD2 regulates lymph node metastasis derived from intrahepatic cholangiocellular carcinoma through CCR7-dependent chemotaxis
DOI: https://doi.org/10.1038/s41598-026-55155-y
[2026] Role of VEGFA/VEGFR2 signaling in predicting clinical outcomes of EGFR-TKI treatment in EGFR-mutant non-small cell lung cancer
DOI: https://doi.org/10.1038/s41416-026-03457-3
[2026] Three-Dimensional Visualization and Detection of the Pulmonary Venous–Left Atrium Connection Using Artificial Intelligence in Fetal Cardiac Ultrasound Screening
DOI: https://doi.org/10.3390/bioengineering13010100
[2026] SETD8 promotes ovarian clear cell carcinoma by epigenetically activating RNA metabolism genes via H4K20me1
DOI: https://doi.org/10.1038/s41598-026-48676-z

続きを表示（残り 94 件）

[2026] Microbiomic and immunogenic biomarkers of adjuvant chemotherapy efficacy in stage III colorectal cancer
DOI: https://doi.org/10.1093/jncics/pkag036
[2026] Abstract 2272: Dichotomous immunogenetic landscape of lung adenocarcinoma associated with usual interstitial pneumonia.
DOI: https://doi.org/10.1158/1538-7445.am2026-2272
[2026] Abstract 2500: CMTR2 deficiency defines a novel RNA splicing-driven subtype of lung adenocarcinoma with therapeutic vulnerabilities
DOI: https://doi.org/10.1158/1538-7445.am2026-2500
[2026] Comparing artificial intelligence and physician performance in predicting IDH mutation status in glioma
DOI: https://doi.org/10.1038/s41746-026-02695-2
[2026] Poor-prognosis cancers: from resignation to revolution
DOI: https://doi.org/10.1016/j.jogsop.2026.100012
[2026] Artificial Intelligence-Based Automated Assessment of the Four-Chamber View in Fetal Cardiac Ultrasound Videos
DOI: https://doi.org/10.3390/bioengineering13030303
[2026] Implementing generative artificial intelligence in precision oncology: safety, governance, and significance
DOI: https://doi.org/10.1186/s13045-026-01781-y
[2026] Class-specific clinical and molecular features of SMARCA4 alterations in non–small cell lung cancer.
DOI: https://doi.org/10.1200/jco.2026.44.16_suppl.8033
[2026] Applying a large language model to detect immune-related adverse events in electronic health records: Effect of integrating prescription and laboratory data on accuracy.
DOI: https://doi.org/10.1200/jco.2026.44.16_suppl.12133
[2025] SEgene identifies links between super enhancers and gene expression across cell types
DOI: https://doi.org/10.1038/s41540-025-00533-x
[2025] Germline Pathogenic Variants and Clinical Outcomes in Asian Patients With Breast Cancer
DOI: https://doi.org/10.1111/cas.70002
[2025] CLINICAL APPLICATION OF AN ARTIFICIAL INTELLIGENCE-BASED SUPPORT SYSTEM FOR FETAL CARDIAC ULTRASOUND SCREENING
DOI: https://doi.org/10.1016/j.ultrasmedbio.2025.10.063
[2025] DEVELOPMENT OF A THREE-DIMENSIONAL SEGMENTATION MODEL FOR THE FETAL CARDIOVASCULAR VISUALIZATION
DOI: https://doi.org/10.1016/j.ultrasmedbio.2025.11.120
[2025] Whole-genome and transcriptome landscape of actionable driver-negative lung adenocarcinoma.
DOI: https://doi.org/10.1200/jco.2025.43.16_suppl.8523
[2025] TP53 Mutations and PD-L1 Amplification in Vulvar Adenocarcinoma of the Intestinal Type: Insights From Whole Exome Sequencing of 2 Cases
DOI: https://doi.org/10.1097/pgp.0000000000001093
[2025] Establishment of High-Precision Ultrasound Diagnosis Methods Based on the Introduction of Deep Learning
DOI: https://doi.org/10.1109/rbme.2025.3645229
[2025] Synthetic lethality from the combination of a histone methyltransferase SUV39H2 inhibitor and a poly (ADP-ribose) polymerase inhibitor for uterine leiomyosarcoma
DOI: https://doi.org/10.1186/s12885-025-15267-6
[2025] Germline variants of the POLH and RAD51 genes are candidate variants associated with risk of hormone receptor-negative young-onset breast cancer
DOI: https://doi.org/10.1038/s41523-025-00848-2
[2025] Low OLFM1 and BMP6 Expression Predicts Recurrence in Early-Stage Nonsquamous NSCLC with Pure Solid Tumor Appearance
DOI: https://doi.org/10.1158/2767-9764.crc-25-0186
[2025] Chromosome 15q15 Deletion Drives Brain Metastasis in NSCLC
DOI: https://doi.org/10.1016/j.jtho.2025.11.001
[2025] Mutation of CMTR2 in Lung Adenocarcinoma Alters RNA Alternative Splicing and Reveals Therapeutic Vulnerabilities
DOI: https://doi.org/10.1038/s41467-025-64821-0
[2025] P1.04.52 A Clinically Applicable and Generalizable Deep Learning Model for Segmenting Anterior Mediastinal Tumors Across Multiple Institutions
DOI: https://doi.org/10.1016/j.jtho.2025.09.242
[2025] P3.03.36 Whole Genome Doubling Drives Genomic Instability and Poor Postoperative Outcomes in Stage I Driver-Negative Lung Adenocarcinoma
DOI: https://doi.org/10.1016/j.jtho.2025.09.834
[2025] Stratifying lung adenocarcinoma risk with multi-ancestry polygenic risk scores in East Asian never-smokers
DOI: https://doi.org/10.1093/jnci/djaf272
[2025] 1749P Validation of a semi-automatic artificial intelligence model for Pan-cancer tumor segmentation
DOI: https://doi.org/10.1016/j.annonc.2025.08.2378
[2025] Prediction recurrence in stage I epidermal growth factor receptor-mutated non-small cell lung cancer using multi-modal data
DOI: https://doi.org/10.1016/j.lungcan.2025.108727
[2025] Intraoperative mixed reality support for endoscopic submucosal dissection of a large laterally spreading tumor in the rectum
DOI: https://doi.org/10.1055/a-2639-4693
[2025] TP53 gene and pathway alterations in gastric-type adenocarcinoma of the cervix
DOI: https://doi.org/10.1093/jncics/pkaf082
[2025] Comparison between a Luminex-based multiplex kit with a sequence-specific oligonucleotide probe and next-generation sequencing for the detection of POLE oncogenic mutations in endometrial cancer
DOI: https://doi.org/10.1007/s00428-025-04204-4
[2025] Genomic Profiles of Pathogenic and Moderate-Penetrance Germline Variants Associated With Risk of Early-Onset Lung Adenocarcinoma
DOI: https://doi.org/10.1016/j.jtho.2025.06.005
[2025] Implications of EGFR expression on EGFR signaling dependency and adaptive immunity against EGFR-mutated lung adenocarcinoma
DOI: https://doi.org/10.1016/j.lungcan.2025.108494
[2025] A series of natural language processing for predicting tumor response evaluation and survival curve from electronic health records
DOI: https://doi.org/10.1186/s12911-025-02928-6
[2025] Establishment of a machine learning model for predicting splenic hilar lymph node metastasis
DOI: https://doi.org/10.1038/s41746-025-01480-x
[2024] Abstract 1712: Identifying a novel alternative promoter usage in HDAC9: Implications for LUAD prognosis and therapy
DOI: https://doi.org/10.1158/1538-7445.am2024-1712
[2024] BET inhibitor JQ1 induces apoptosis of ovarian and endometrial endometrioid carcinoma cells by downregulating c‑Myc
DOI: https://doi.org/10.3892/ol.2024.14852
[2024] Automated Assessment of the Pulmonary Artery-to-Ascending Aorta Ratio in Fetal Cardiac Ultrasound Screening Using Artificial Intelligence
DOI: https://doi.org/10.3390/bioengineering11121256
[2024] Analysis of Inertial Measurement Unit Data for an AI-Based Physical Function Assessment System Using In-Clinic-like Movements
DOI: https://doi.org/10.3390/bioengineering11121232
[2024] 10122- NI-9 DEEP-LEARNING-BASED RECONSTRUCTION OF DIFFUSION WEIGHTED IMAGES OF MALIGNANT BRAIN TUMORS.
DOI: https://doi.org/10.1093/noajnl/vdae173.064
[2024] P4.07F.05 Low OLFM1/BMP6 Expression Identifies High-Risk Stage I Non-Squamous Non-Small Cell Lung Cancer after Pulmonary Resection
DOI: https://doi.org/10.1016/j.jtho.2024.09.696
[2024] EP01.21: Performance evaluation study of an artificial intelligence‐based support system for fetal cardiac ultrasound screening
DOI: https://doi.org/10.1002/uog.28036
[2024] Excellent concordance of the molecular classification between preoperative biopsy and final hysterectomy in endometrial carcinoma
DOI: https://doi.org/10.1016/j.ygyno.2024.08.016
[2024] Can physician judgment enhance model trustworthiness? A case study on predicting pathological lymph nodes in rectal cancer
DOI: https://doi.org/10.1016/j.artmed.2024.102929
[2024] Mechanism of ERBB2 gene overexpression by the formation of super-enhancer with genomic structural abnormalities in lung adenocarcinoma without clinically actionable genetic alterations
DOI: https://doi.org/10.1186/s12943-024-02035-6
[2024] Genomic profiles of Japanese patients with vulvar squamous cell carcinoma
DOI: https://doi.org/10.1038/s41598-024-63913-z
[2024] Prediction of recurrence in stage I EGFR mutation-positive NSCLC: Combination of CT appearance and selected co-occurring gene alterations by machine learning.
DOI: https://doi.org/10.1200/jco.2024.42.16_suppl.8053
[2024] Implications of EGFR expression in MAPK dependency and adaptive immunity status of EGFR-mutated lung adenocarcinoma.
DOI: https://doi.org/10.1200/jco.2024.42.16_suppl.8028
[2024] Advances in cancer DNA methylation analysis with methPLIER: use of non-negative matrix factorization and knowledge-based constraints to enhance biological interpretability
DOI: https://doi.org/10.1038/s12276-024-01173-7
[2024] Clinical features and impact of p53 status on sporadic mismatch repair deficiency and Lynch syndrome in uterine cancer
DOI: https://doi.org/10.1111/cas.16121
[2024] Passive Smoking–Induced Mutagenesis as a Promoter of Lung Carcinogenesis
DOI: https://doi.org/10.1016/j.jtho.2024.02.006
[2023] EP02.28: AI‐based automatic detection of PV‐LA connections is useful in screening for TAPVC
DOI: https://doi.org/10.1002/uog.26646
[2023] Tumor microenvironment-mediated immune profiles and efficacy of anti-PD-L1 antibody plus chemotherapy stratified by DLL3 expression in small-cell lung cancer
DOI: https://doi.org/10.1038/s41416-023-02427-3
[2023] 3. Medical AI Research and Development for Clinical Application
DOI: https://doi.org/10.2169/naika.112.1636
[2023] An ATR-PrimPol pathway confers tolerance to oncogenic KRAS-induced and heterochromatin-associated replication stress
DOI: https://doi.org/10.1038/s41467-023-40578-2
[2023] A comprehensive appraisal of HER2 heterogeneity in HER2-amplified and HER2-low colorectal cancer
DOI: https://doi.org/10.1038/s41416-023-02382-z
[2023] Rare <scp>FGFR</scp> fusion genes in cervical cancer and transcriptome‐based subgrouping of patients with a poor prognosis
DOI: https://doi.org/10.1002/cam4.6415
[2023] A discrimination model by machine learning to avoid gastrectomy for early gastric cancer
DOI: https://doi.org/10.1002/ags3.12714
[2023] Development and validation of a prediction model for the recurrence of stage 1 EGFR mutation positive NSCLC in patients using machine learning with WES-based gene sets.
DOI: https://doi.org/10.1200/jco.2023.41.16_suppl.8563
[2023] Tumor microenvironment-mediated immune profiles and efficacy of platinum doublet chemotherapy plus ICIs stratified by DLL3 expression in small cell lung cancer.
DOI: https://doi.org/10.1200/jco.2023.41.16_suppl.8586
[2023] PROX1 induction by autolysosomal activity stabilizes persister-like state of colon cancer via feedback repression of the NOX1-mTORC1 pathway
DOI: https://doi.org/10.1016/j.celrep.2023.112519
[2023] Epigenetic regulation of SMAD3 by histone methyltransferase SMYD2 promotes lung cancer metastasis
DOI: https://doi.org/10.1038/s12276-023-00987-1
[2023] Identification of inflamed-phenotype of small cell lung cancer leading to the efficacy of anti-PD-L1 antibody and chemotherapy
DOI: https://doi.org/10.1016/j.lungcan.2023.107183
[2023] Comparison of clinicopathological and genomic profiles in anal squamous cell carcinoma between Japanese and Caucasian cohorts
DOI: https://doi.org/10.1038/s41598-023-30624-w
[2023] 3. Medical AI Research and Development for Clinical Application
DOI: https://doi.org/10.2169/naika.112.115b
[2023] Utility of molecular subtypes and genetic alterations for evaluating clinical outcomes in 1029 patients with endometrial cancer
DOI: https://doi.org/10.1038/s41416-023-02203-3
[2023] Rare FGFR fusion genes and subgrouping patients with a poor prognosis using RNA-based classification in cervical cancer
DOI: https://doi.org/10.3802/jgo.2023.34.s1.i03
[2023] 10024-CO-1 A MULTICENTER PERFORMANCE COMPARISON STUDY OF AN IDH STATUS PREDICTION MODEL USING THE VISUAL TRANSFORMER MODEL
DOI: https://doi.org/10.1093/noajnl/vdad141.014
[2023] Integrative analysis reveals early epigenetic alterations in high-grade serous ovarian carcinomas
DOI: https://doi.org/10.1038/s12276-023-01090-1
[2023] EP24.14: Explainable AI to support examiners for abnormality detection in fetal cardiac ultrasound screening
DOI: https://doi.org/10.1002/uog.27068
[2023] 10089-CO-4 DEVELOPMENT OF A PHYSICIAN SUPPORT SYSTEM FOR ANALYSIS OF GENETIC MUTATIONS IN BRAIN TUMORS AND SELECTION OF CLINICAL TRIALS USING LARGE-SCALE LANGUAGE MODELS (LLMS) WITH RETRIEVER
DOI: https://doi.org/10.1093/noajnl/vdad141.041
[2023] Sketch-based semantic retrieval of medical images
DOI: https://doi.org/10.1016/j.media.2023.103060
[2023] Histone methyltransferase <scp>SUV420H1</scp>/<scp>KMT5B</scp> contributes to poor prognosis in hepatocellular carcinoma
DOI: https://doi.org/10.1111/cas.16038
[2023] EP02.49: The anatomical structure analysis in the cross‐vendor fetal cardiac ultrasound videos using deep learning
DOI: https://doi.org/10.1002/uog.26664
[2022] The metabolic stress-activated checkpoint LKB1-MARK3 axis acts as a tumor suppressor in high-grade serous ovarian carcinoma
DOI: https://doi.org/10.1038/s42003-021-02992-4
[2022] Tumor Suppressive Role of the PRELP Gene in Ovarian Clear Cell Carcinoma
DOI: https://doi.org/10.3390/jpm12121999
[2022] Repression of the PRELP gene is relieved by histone deacetylase inhibitors through acetylation of histone H2B lysine 5 in bladder cancer
DOI: https://doi.org/10.1186/s13148-022-01370-z
[2022] Predictive model for the preoperative assessment and prognostic modeling of lymph node metastasis in endometrial cancer
DOI: https://doi.org/10.1038/s41598-022-23252-3
[2022] The Histone Methyltransferase SETD8 Regulates the Expression of Tumor Suppressor Genes via H4K20 Methylation and the p53 Signaling Pathway in Endometrial Cancer Cells
DOI: https://doi.org/10.3390/cancers14215367
[2022] Performance of a novel computer‐aided diagnosis system in the characterization of colorectal polyps, and its role in meeting Preservation and Incorporation of Valuable Endoscopic Innovations standards set by the American Society of Gastrointestinal Endoscopy
DOI: https://doi.org/10.1002/deo2.178
[2022] PRELP Regulates Cell–Cell Adhesion and EMT and Inhibits Retinoblastoma Progression
DOI: https://doi.org/10.3390/cancers14194926
[2022] 5) Application of AI in Genomic Medicine-Implementation of AI in Omics Analysis with a Focus on Genomics-
DOI: https://doi.org/10.2169/naika.111.1789
[2022] OP05.08: Automated evaluation of pulmonary venous drainage into the left atrium in the second trimester ultrasound screening of the fetal heart
DOI: https://doi.org/10.1002/uog.25152
[2022] 1548P Identification of inflamed-phenotype of small cell lung cancer leading to the efficacy of anti-PD-L1 antibody and chemotherapy
DOI: https://doi.org/10.1016/j.annonc.2022.07.1642
[2022] MA04.04 The Ground-Glass Component Status Combined with the Clinical T Descriptor Predicts Prognosis and Genomic Alterations in NSCLC
DOI: https://doi.org/10.1016/j.jtho.2022.07.096
[2022] Robust automated prediction of the revised Vienna Classification in colonoscopy using deep learning: development and initial external validation
DOI: https://doi.org/10.1007/s00535-022-01908-1
[2022] Clinicopathological and molecular characteristics of RSPO fusion-positive colorectal cancer
DOI: https://doi.org/10.1038/s41416-022-01880-w
[2022] Automated Endocardial Border Detection and Left Ventricular Functional Assessment in Echocardiography Using Deep Learning
DOI: https://doi.org/10.3390/biomedicines10051082
[2022] [APPLICATIONS OF ARTIFICIAL INTELLIGENCE IN THE MEDICAL FIELD: CURRENT STATUS AND STRATEGIES FOR THE FUTURE].
DOI: https://doi.org/10.15036/arerugi.71.107
[2022] Lysophosphatidylcholine Acyltransferase 1 Deficiency Promotes Pulmonary Emphysema via Apoptosis of Alveolar Epithelial Cells
DOI: https://doi.org/10.1007/s10753-022-01659-4
[2022] Clinical impact of genetic alterations of CTNNB1 in patients with grade 3 endometrial endometrioid carcinoma
DOI: https://doi.org/10.1111/cas.15328
[2022] Medical Professional Enhancement Using Explainable Artificial Intelligence in Fetal Cardiac Ultrasound Screening
DOI: https://doi.org/10.3390/biomedicines10030551
[2022] 5) Application of AI in Genomic Medicine-Implementation of AI in Omics Analysis with a Focus on Genomics-
DOI: https://doi.org/10.2169/naika.111.117c
[2022] 5. The Potential of Medical Image Analysis Technology in the Field of Cancer Treatment
DOI: https://doi.org/10.6009/jjrt.780110
[2022] Human gut-microbiome-derived propionate coordinates proteasomal degradation via HECTD2 upregulation to target EHMT2 in colorectal cancer
DOI: https://doi.org/10.1038/s41396-021-01119-1
[2022] Clinical Applications of Artificial Intelligence (AI) Technology : Focusing on Medical Image Analysis
DOI: https://doi.org/10.7887/jcns.31.494

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AI 要約（直近 5 年の研究成果）

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関連研究室(8 件)

研究成果（104 件）

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