Literature DB >> 32243801

How Machine Learning Will Transform Biomedicine.

Jeremy Goecks1, Vahid Jalili2, Laura M Heiser2, Joe W Gray2.   

Abstract

This Perspective explores the application of machine learning toward improved diagnosis and treatment. We outline a vision for how machine learning can transform three broad areas of biomedicine: clinical diagnostics, precision treatments, and health monitoring, where the goal is to maintain health through a range of diseases and the normal aging process. For each area, early instances of successful machine learning applications are discussed, as well as opportunities and challenges for machine learning. When these challenges are met, machine learning promises a future of rigorous, outcomes-based medicine with detection, diagnosis, and treatment strategies that are continuously adapted to individual and environmental differences.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2020        PMID: 32243801      PMCID: PMC7141410          DOI: 10.1016/j.cell.2020.03.022

Source DB:  PubMed          Journal:  Cell        ISSN: 0092-8674            Impact factor:   41.582


  66 in total

1.  Connecting genomic alterations to cancer biology with proteomics: the NCI Clinical Proteomic Tumor Analysis Consortium.

Authors:  Matthew J Ellis; Michael Gillette; Steven A Carr; Amanda G Paulovich; Richard D Smith; Karin K Rodland; R Reid Townsend; Christopher Kinsinger; Mehdi Mesri; Henry Rodriguez; Daniel C Liebler
Journal:  Cancer Discov       Date:  2013-10       Impact factor: 39.397

2.  Defining a Cancer Dependency Map.

Authors:  Aviad Tsherniak; Francisca Vazquez; Phil G Montgomery; Barbara A Weir; Gregory Kryukov; Glenn S Cowley; Stanley Gill; William F Harrington; Sasha Pantel; John M Krill-Burger; Robin M Meyers; Levi Ali; Amy Goodale; Yenarae Lee; Guozhi Jiang; Jessica Hsiao; William F J Gerath; Sara Howell; Erin Merkel; Mahmoud Ghandi; Levi A Garraway; David E Root; Todd R Golub; Jesse S Boehm; William C Hahn
Journal:  Cell       Date:  2017-07-27       Impact factor: 41.582

3.  Precision oncology for acute myeloid leukemia using a knowledge bank approach.

Authors:  Moritz Gerstung; Elli Papaemmanuil; Inigo Martincorena; Lars Bullinger; Verena I Gaidzik; Peter Paschka; Michael Heuser; Felicitas Thol; Niccolo Bolli; Peter Ganly; Arnold Ganser; Ultan McDermott; Konstanze Döhner; Richard F Schlenk; Hartmut Döhner; Peter J Campbell
Journal:  Nat Genet       Date:  2017-01-16       Impact factor: 38.330

4.  Dermatologist-level classification of skin cancer with deep neural networks.

Authors:  Andre Esteva; Brett Kuprel; Roberto A Novoa; Justin Ko; Susan M Swetter; Helen M Blau; Sebastian Thrun
Journal:  Nature       Date:  2017-01-25       Impact factor: 49.962

5.  Reports from the fifth edition of CAGI: The Critical Assessment of Genome Interpretation.

Authors:  Gaia Andreoletti; Lipika R Pal; John Moult; Steven E Brenner
Journal:  Hum Mutat       Date:  2019-08-26       Impact factor: 4.878

Review 6.  Natural language processing systems for capturing and standardizing unstructured clinical information: A systematic review.

Authors:  Kory Kreimeyer; Matthew Foster; Abhishek Pandey; Nina Arya; Gwendolyn Halford; Sandra F Jones; Richard Forshee; Mark Walderhaug; Taxiarchis Botsis
Journal:  J Biomed Inform       Date:  2017-07-17       Impact factor: 6.317

7.  On-target Resistance to the Mutant-Selective EGFR Inhibitor Osimertinib Can Develop in an Allele-Specific Manner Dependent on the Original EGFR-Activating Mutation.

Authors:  Benjamin P Brown; Yun-Kai Zhang; David Westover; Yingjun Yan; Huan Qiao; Vincent Huang; Zhenfang Du; Jarrod A Smith; Jeffrey S Ross; Vincent A Miller; Siraj Ali; Lyudmila Bazhenova; Alexa B Schrock; Jens Meiler; Christine M Lovly
Journal:  Clin Cancer Res       Date:  2019-02-22       Impact factor: 12.531

8.  A Cardiac Early Warning System with Multi Channel SCG and ECG Monitoring for Mobile Health.

Authors:  Prasan Kumar Sahoo; Hiren Kumar Thakkar; Ming-Yih Lee
Journal:  Sensors (Basel)       Date:  2017-03-29       Impact factor: 3.576

Review 9.  A Review of Cell-Based Computational Modeling in Cancer Biology.

Authors:  John Metzcar; Yafei Wang; Randy Heiland; Paul Macklin
Journal:  JCO Clin Cancer Inform       Date:  2019-02

10.  Identifying and validating blood mRNA biomarkers for acute and chronic insufficient sleep in humans: a machine learning approach.

Authors:  Emma E Laing; Carla S Möller-Levet; Derk-Jan Dijk; Simon N Archer
Journal:  Sleep       Date:  2019-01-01       Impact factor: 5.849

View more
  66 in total

Review 1.  Gut microbiome, big data and machine learning to promote precision medicine for cancer.

Authors:  Giovanni Cammarota; Gianluca Ianiro; Anna Ahern; Carmine Carbone; Andriy Temko; Marcus J Claesson; Antonio Gasbarrini; Giampaolo Tortora
Journal:  Nat Rev Gastroenterol Hepatol       Date:  2020-07-09       Impact factor: 46.802

2.  A 3-Gene Random Forest Model to Diagnose Non-obstructive Azoospermia Based on Transcription Factor-Related Henes.

Authors:  Ranran Zhou; Jingjing Liang; Qi Chen; Hu Tian; Cheng Yang; Cundong Liu
Journal:  Reprod Sci       Date:  2022-06-17       Impact factor: 3.060

Review 3.  Epicardial and pericardial fat analysis on CT images and artificial intelligence: a literature review.

Authors:  Federico Greco; Rodrigo Salgado; Wim Van Hecke; Romualdo Del Buono; Paul M Parizel; Carlo Augusto Mallio
Journal:  Quant Imaging Med Surg       Date:  2022-03

4.  In with the old, in with the new: machine learning for time to event biomedical research.

Authors:  Ioana Danciu; Greeshma Agasthya; Janet P Tate; Mayanka Chandra-Shekar; Ian Goethert; Olga S Ovchinnikova; Benjamin H McMahon; Amy C Justice
Journal:  J Am Med Inform Assoc       Date:  2022-09-12       Impact factor: 7.942

Review 5.  Radiomics: a primer on high-throughput image phenotyping.

Authors:  Kyle J Lafata; Yuqi Wang; Brandon Konkel; Fang-Fang Yin; Mustafa R Bashir
Journal:  Abdom Radiol (NY)       Date:  2021-08-25

6.  Machine learning approach for the prediction of 30-day mortality in patients with sepsis-associated encephalopathy.

Authors:  Liwei Peng; Chi Peng; Fan Yang; Jian Wang; Wei Zuo; Chao Cheng; Zilong Mao; Zhichao Jin; Weixin Li
Journal:  BMC Med Res Methodol       Date:  2022-07-04       Impact factor: 4.612

Review 7.  Machine learning for sperm selection.

Authors:  Jae Bem You; Christopher McCallum; Yihe Wang; Jason Riordon; Reza Nosrati; David Sinton
Journal:  Nat Rev Urol       Date:  2021-05-17       Impact factor: 14.432

8.  Genome-Wide Chromatin Analysis of FFPE Tissues Using a Dual-Arm Robot with Clinical Potential.

Authors:  Syuzo Kaneko; Toutai Mitsuyama; Kouya Shiraishi; Noriko Ikawa; Kanto Shozu; Ai Dozen; Hidenori Machino; Ken Asada; Masaaki Komatsu; Asako Kukita; Kenbun Sone; Hiroshi Yoshida; Noriko Motoi; Shinya Hayami; Yutaka Yoneoka; Tomoyasu Kato; Takashi Kohno; Toru Natsume; Gottfried von Keudell; Vassiliki Saloura; Hiroki Yamaue; Ryuji Hamamoto
Journal:  Cancers (Basel)       Date:  2021-04-28       Impact factor: 6.639

9.  Establishment and experimental validation of an immune miRNA signature for assessing prognosis and immune landscape of patients with colorectal cancer.

Authors:  Zaoqu Liu; Taoyuan Lu; Yanli Wang; Dechao Jiao; Zhaonan Li; Libo Wang; Long Liu; Chunguang Guo; Yanan Zhao; Xinwei Han
Journal:  J Cell Mol Med       Date:  2021-06-07       Impact factor: 5.310

Review 10.  Fostering reproducibility, reusability, and technology transfer in health informatics.

Authors:  Anne-Christin Hauschild; Lisa Eick; Joachim Wienbeck; Dominik Heider
Journal:  iScience       Date:  2021-07-01
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.