Literature DB >> 33445802

Application of Artificial Intelligence for Medical Research.

Ryuji Hamamoto1,2.   

Abstract

The Human Genome Project, completed in 2003 by an international consortium, is considered one of the most important achievements for mankind in the 21st century [...].

Entities:  

Year:  2021        PMID： 33445802      PMCID： PMC7828229          DOI： 10.3390/biom11010090

Source DB:  PubMed          Journal:  Biomolecules        ISSN： 2218-273X


  24 in total

1.  The Human Genome Project: lessons from large-scale biology.

Authors:  Francis S Collins; Michael Morgan; Aristides Patrinos
Journal:  Science       Date:  2003-04-11       Impact factor: 47.728

2.  Deep Learning of Cancer Stem Cell Morphology Using Conditional Generative Adversarial Networks.

Authors:  Saori Aida; Junpei Okugawa; Serena Fujisaka; Tomonari Kasai; Hiroyuki Kameda; Tomoyasu Sugiyama
Journal:  Biomolecules       Date:  2020-06-19

3.  Development of a real-time endoscopic image diagnosis support system using deep learning technology in colonoscopy.

Authors:  Masayoshi Yamada; Yutaka Saito; Hitoshi Imaoka; Masahiro Saiko; Shigemi Yamada; Hiroko Kondo; Hiroyuki Takamaru; Taku Sakamoto; Jun Sese; Aya Kuchiba; Taro Shibata; Ryuji Hamamoto
Journal:  Sci Rep       Date:  2019-10-08       Impact factor: 4.379

4.  System-Based Differential Gene Network Analysis for Characterizing a Sample-Specific Subnetwork.

Authors:  Yoshihisa Tanaka; Yoshinori Tamada; Marie Ikeguchi; Fumiyoshi Yamashita; Yasushi Okuno
Journal:  Biomolecules       Date:  2020-02-14

5.  Colorectal Cancer Prediction Based on Weighted Gene Co-Expression Network Analysis and Variational Auto-Encoder.

Authors:  Dongmei Ai; Yuduo Wang; Xiaoxin Li; Hongfei Pan
Journal:  Biomolecules       Date:  2020-08-20

6.  Machine Learning-Empowered FTIR Spectroscopy Serum Analysis Stratifies Healthy, Allergic, and SIT-Treated Mice and Humans.

Authors:  Elke Korb; Murat Bağcıoğlu; Erika Garner-Spitzer; Ursula Wiedermann; Monika Ehling-Schulz; Irma Schabussova
Journal:  Biomolecules       Date:  2020-07-16

Review 7.  Epigenetics Analysis and Integrated Analysis of Multiomics Data, Including Epigenetic Data, Using Artificial Intelligence in the Era of Precision Medicine.

Authors:  Ryuji Hamamoto; Masaaki Komatsu; Ken Takasawa; Ken Asada; Syuzo Kaneko
Journal:  Biomolecules       Date:  2019-12-30

8.  Exploring Successful Parameter Region for Coarse-Grained Simulation of Biomolecules by Bayesian Optimization and Active Learning.

Authors:  Ryo Kanada; Atsushi Tokuhisa; Koji Tsuda; Yasushi Okuno; Kei Terayama
Journal:  Biomolecules       Date:  2020-03-21

9.  Illuminating Clues of Cancer Buried in Prostate MR Image: Deep Learning and Expert Approaches.

Authors:  Jun Akatsuka; Yoichiro Yamamoto; Tetsuro Sekine; Yasushi Numata; Hiromu Morikawa; Kotaro Tsutsumi; Masato Yanagi; Yuki Endo; Hayato Takeda; Tatsuro Hayashi; Masao Ueki; Gen Tamiya; Ichiro Maeda; Manabu Fukumoto; Akira Shimizu; Toyonori Tsuzuki; Go Kimura; Yukihiro Kondo
Journal:  Biomolecules       Date:  2019-10-30

10.  The Development of a Skin Cancer Classification System for Pigmented Skin Lesions Using Deep Learning.

Authors:  Shunichi Jinnai; Naoya Yamazaki; Yuichiro Hirano; Yohei Sugawara; Yuichiro Ohe; Ryuji Hamamoto
Journal:  Biomolecules       Date:  2020-07-29
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  6 in total

Review 1.  Application of non-negative matrix factorization in oncology: one approach for establishing precision medicine.

Authors:  Ryuji Hamamoto; Ken Takasawa; Hidenori Machino; Kazuma Kobayashi; Satoshi Takahashi; Amina Bolatkan; Norio Shinkai; Akira Sakai; Rina Aoyama; Masayoshi Yamada; Ken Asada; Masaaki Komatsu; Koji Okamoto; Hirokazu Kameoka; Syuzo Kaneko
Journal:  Brief Bioinform       Date:  2022-07-18       Impact factor: 13.994

Review 2.  Integrated Analysis of Whole Genome and Epigenome Data Using Machine Learning Technology: Toward the Establishment of Precision Oncology.

Authors:  Ken Asada; Syuzo Kaneko; Ken Takasawa; Hidenori Machino; Satoshi Takahashi; Norio Shinkai; Ryo Shimoyama; Masaaki Komatsu; Ryuji Hamamoto
Journal:  Front Oncol       Date:  2021-05-12       Impact factor: 6.244

Review 3.  A New Era of Neuro-Oncology Research Pioneered by Multi-Omics Analysis and Machine Learning.

Authors:  Satoshi Takahashi; Masamichi Takahashi; Shota Tanaka; Shunsaku Takayanagi; Hirokazu Takami; Erika Yamazawa; Shohei Nambu; Mototaka Miyake; Kaishi Satomi; Koichi Ichimura; Yoshitaka Narita; Ryuji Hamamoto
Journal:  Biomolecules       Date:  2021-04-12

4.  Diagnosis and Prediction of Endometrial Carcinoma Using Machine Learning and Artificial Neural Networks Based on Public Databases.

Authors:  Dongli Zhao; Zhe Zhang; Zhonghuang Wang; Zhenglin Du; Meng Wu; Tingting Zhang; Jialu Zhou; Wenming Zhao; Yuanguang Meng
Journal:  Genes (Basel)       Date:  2022-05-24       Impact factor: 4.141

Review 5.  Randomized Controlled Trials of Artificial Intelligence in Clinical Practice: Systematic Review.

Authors:  Thomas Y T Lam; Max F K Cheung; Yasmin L Munro; Kong Meng Lim; Dennis Shung; Joseph J Y Sung
Journal:  J Med Internet Res       Date:  2022-08-25       Impact factor: 7.076

Review 6.  Towards Clinical Application of Artificial Intelligence in Ultrasound Imaging.

Authors:  Masaaki Komatsu; Akira Sakai; Ai Dozen; Kanto Shozu; Suguru Yasutomi; Hidenori Machino; Ken Asada; Syuzo Kaneko; Ryuji Hamamoto
Journal:  Biomedicines       Date:  2021-06-23
  6 in total

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