Abicumaran Uthamacumaran

According to our database, Abicumaran Uthamacumaran authored at least 14 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Integrative adaptive indexes from noisy routine haematological markers can predict and discriminate health status and biological age.

Santiago Hernández-Orozco, Abicumaran Uthamacumaran, Francisco Hernández Quiroz, Kourosh Saeb-Parsy, Hector Zenil

Comput. Biol. Medicine, 2026

2025

A High-Fidelity Neurosurgical Training Platform for Bimanual Procedures: A Feasibility Study.

Houssem-Eddine Gueziri, Abicumaran Uthamacumaran, Widad Safih, Abdulrahman Almansouri, Nour Abou Hamdan, Jose A. Correa, Étienne Léger, D. Louis Collins, Rolando F. Del Maestro

CoRR, November, 2025

Deep learning-based feature discovery for decoding phenotypic plasticity in pediatric high-grade gliomas single-cell transcriptomics.

Abicumaran Uthamacumaran

Comput. Biol. Medicine, 2025

2024

Assembly Theory Reduced to Shannon Entropy and Rendered Redundant by Naive Statistical Algorithms.

Luan Ozelim, Abicumaran Uthamacumaran, Felipe S. Abrahão, Santiago Hernández-Orozco, Narsis A. Kiani, Jesper Tegnér, Hector Zenil

CoRR, 2024

2023

Machine intelligence-driven classification of cancer patients-derived extracellular vesicles using fluorescence correlation spectroscopy: results from a pilot study.

Abicumaran Uthamacumaran, Mohamed Abdouh, Kinshuk Sengupta, Zu-hua Gao, Stefano Forte, Thupten Tsering, Julia V. Burnier, Goffredo Arena

Neural Comput. Appl., April, 2023

2022

On the Salient Limitations of the Methods of Assembly Theory and their Classification of Molecular Biosignatures.

Abicumaran Uthamacumaran, Felipe S. Abrhão, Narsis Aftab Kiani, Hector Zenil

CoRR, 2022

Pattern Detection on Glioblastoma's Waddington Landscape via Generative Adversarial Networks.

Abicumaran Uthamacumaran

Cybern. Syst., 2022

Dissecting cell fate dynamics in pediatric glioblastoma through the lens of complex systems and cellular cybernetics.

Abicumaran Uthamacumaran

Biol. Cybern., 2022

Machine learning characterization of cancer patients-derived extracellular vesicles using vibrational spectroscopies: results from a pilot study.

Abicumaran Uthamacumaran, Samir Elouatik, Mohamed Abdouh, Michael Berteau-Rainville, Zu-hua Gao, Goffredo Arena

Appl. Intell., 2022

2021

A review of dynamical systems approaches for the detection of chaotic attractors in cancer networks.

Abicumaran Uthamacumaran

Patterns, 2021

Machine Learning Characterization of Cancer Patients-Derived Extracellular Vesicles using Vibrational Spectroscopies.

Abicumaran Uthamacumaran, Samir Elouatik, Mohamed Abdouh, Michael Berteau-Rainville, Zhu-Hua Gao, Goffredo Arena

CoRR, 2021

2020

A Review of Complex Systems Approaches to Cancer Networks.

Abicumaran Uthamacumaran

Complex Syst., 2020

2018

Corrigendum to "A biophysical approach to cancer dynamics: Quantum chaos and energy turbulence" [BioSystems 156-157 (June-July) (2017) 1-22].

Abicumaran Uthamacumaran

Biosyst., 2018

2017

A biophysical approach to cancer dynamics: Quantum chaos and energy turbulence.

Abicumaran Uthamacumaran

Biosyst., 2017