Work

Multiscale predictive cellular modeling: integrating hypothesis grammars, digital twins, and multi-omics for In silico oncology and precision theranostics

Year: 2026

Type: review

Source: Functional & Integrative Genomics

DOI: 10.1007/s10142-026-01890-4

Authors: S. T. Gopukumar, Dyumn Dwivedi, Mohamed Rahamathulla, Mohammed Muqtader Ahmed, Tanveen Kaur Soni, Praveen Ganesh Natarajan, S. Ramkanth, Arpita Mitra, Uddalak Das

Institutions: Saveetha University, Jawaharlal Nehru University, Max Healthcare, Academy of Scientific and Innovative Research, King Khalid University, Prince Sattam Bin Abdulaziz University, JIS University, Karpagam College of Pharmacy Coimbatore, Karpagam Academy of Higher Education, Indian Institute of Technology Bombay, Indian Institute of Science Bangalore

Language: English

Topic: Mathematical Biology Tumor Growth

Subfield: Modeling and Simulation

Field: Mathematics

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funders: Department of Biotechnology, Ministry of Science and Technology, India, Indian Council of Medical Research, Council of Scientific and Industrial Research, India

Awards: G545013999, G737170193, G862187230

OpenAlex ID: W7162777141

FWCI: 6.58

Cites: 136

Cited by: 7

Related to: 10