Bergþór Björnsson; Carl Borrebaeck; Nils Elander; Thomas Gasslander; Danuta R. Gawel; Mika Gustafsson; Rebecka Jörnsten; Eunjung Lee; Xinxiu Li; Sandra Lilja; David Martínez-Enguita; Andreas Matussek; Per Sandström; Samuel Schäfer; Margaretha Stenmarker; Xiao‐Feng Sun; Oleg Sysoev; Huan Zhang; Mikael Benson · 2019 · Genome Medicine
Paper
Personalized medicine requires the integration and processing of vast amounts of data. Here, we propose a solution to this challenge that is based on constructing Digital Twins. These are high-resolution models of individual patients that are computationally treated with thousands of drugs to find the drug that is optimal for the patient.
Analysis
This paper proposes using Digital Twins, high-resolution computational models of individual patients, to process vast amounts of data for personalized medicine, specifically to identify optimal drug treatments.
Discovery
Phyllis Thangaraj; S. Benson; Evangelos K. Oikonomou; Folkert W. Asselbergs; Rohan Khera
Shuroug A. Alowais; Sahar S. Alghamdi; Nada Alsuhebany; Tariq Alqahtani; Abdulrahman Alshaya; Sumaya N. Almohareb; Atheer Aldairem; Mohammed Alrashed; Khalid Bin Saleh; Hisham A. Badreldin; Majed S. Al Yami; Shmeylan Al Harbi; Abdulkareem Albekairy
Alexandre Vallée
Tianze Sun; Xiwang He; Zhonghai Li
Mamoun Alazab; Latif U. Khan; Srinivas Koppu; Swarna Priya Ramu; M. Iyapparaja; Parimala Boobalan; Thar Baker; Praveen Kumar Reddy Maddikunta; Thippa Reddy Gadekallu; Ahamed Aljuhani
Kaushik P. Venkatesh; Marium Raza; Joseph C. Kvedar
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