Biology at the interface of physics and electronics

Integrated Approaches for Sustainable and Personalized Healthcare

BioMAS addresses key public health challenges through a transversal, interdisciplinary strategy, as part of the ACTES initiative (Action Transverse Émergente d’Enjeu Sociétal).

BioMAS aims to overcome current therapeutic limitations by integrating advanced biotechnology, innovative algorithms and computational models based on experimental data to identify key biomarkers, simulate therapeutic responses, develop medical monitoring devices and automated care administration. The goal is to offer more accurate, less invasive healthcare solutions tailored to each patient, while complying with strict ethical standards and minimising the environmental footprint. BioMAS also contributes to environmental health by developing tools capable of detecting and monitoring pollutants that may affect human health and the ecosystem.

The project promotes adaptive, patient-centered diagnostics and treatments aligned with the United Nations Sustainable Development Goals, particularly health and well-being (Goal 3) and sustainable communities (Goal 11).

Scientific and Technological Objectives for BioMAS

Current medical solutions, often reliant on expensive and non-sustainable materials, face significant limitations. The BioMAS project addresses these issues through an interdisciplinary approach to complex non-communicable diseases (neurological, cancer, diabetes, cardiovascular). Its goals include:

1) Deciphering biological mechanisms to enable targeted, personalized therapies;

2) Identifying and monitoring biomarkers for precise, less invasive diagnostics;

3) Developing advanced modeling (e.g., digital twins) to simulate responses and reduce animal testing;

4) Translating innovations into clinical applications, while reducing environmental impact via biosourced materials and sustainable technologies.

Implementation: BioMAS Project Methodology

Axis 1 – Diabetes & Personalized Therapies

In a collaborative and interdisciplinary framework, the targeted contributions range from i) the design of a new generation of selective sensors for specific biomarkers, ii) the development of bio-inspired dynamical models to recreate, in silico, living behaviours, and iii) the design of robust control algorithms to blood glucose regulation of patients with diabetes (as part of daily home care, but also in a hospital environment) to name a few.

Axis 2 – Cancer and Precision Oncology

The aim of Axis 2 is to develop approaches for precision oncology, with a focus on non-invasive and personalized monitoring and treatment of cancer. This axis is based on interdisciplinary work combining micro- and nanotechnologies, sensing technologies, advanced algorithms, and biomedical modeling, within a translational research context. By integrating sensing, modeling, and data analysis, Axis 2 aims to improve therapeutic monitoring and support the development of more effective precision oncology solutions.

Axis 3 – Neuropathologies and Functional Rehabilitation

The aim of this axis is to develop therapeutic or assistive strategies capable of neuromimetic interaction with neural tissue and operating under closed-loop control architectures, allowing adaptive personalization to the patient, the pathology, and its chronic evolution.

Axis 4 – Cardiovascular and Vascular health

This research focus aims to design integrated modeling, sensing, and bio-hybrid instrumentation frameworks for cardiovascular, respiratory, and neurocardiac systems, combining multi-scale physiological modeling, data-driven approaches, and closed-loop control to enable personalized diagnosis, prognosis, digital twins, and electroceutical therapies.

Axis 5 – Environmental Health and Exposures

Axis 5 develops approaches for monitoring environmental exposures and their impact on human and animal health. It focuses on chemical pollutants and electromagnetic exposures and their links with chronic diseases, aging, and biodiversity. Combining portable sensors, exposome biomarkers, multivariate data analysis, and modeling, it supports public health assessment, exposure recommendations, and understanding of environmental risks.

BioMAS Cross-disciplinarity

Living platform

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Waves

Signal & Image

Automatic control

Bioelectronics

Circuit design

Organic electronics

BioMAS skills

Biotechnology

Multiphysics sensor

Lab-on-chip

Therapeutic and diagnostic systems

Virtual Human Twin

Advanced biomedical research

Sustainable electronics

Electroceuticals

Organoïd

Advanced modeling

Multiple drug control

Translational research

Partners

Collaborations and partners

BioMAS research team brings together the expertise of several researchers from six research groups at the IMS laboratory. This cross-disciplinary initiative is organized around six work packages, each led by two permanent researchers affiliated with BioMAS. It is also based on five working groups corresponding to the five thematic areas defined in the initial roadmap. BioMAS develops its activities in close collaboration with other laboratories at the University of Bordeaux (CBMN, LCPO, I2M, IINS, NeuroCampus, etc.), the Bordeaux University Hospital, and within the framework of collaborative projects funded by the University of Bordeaux, the French National Research Agency (ANR), the European Union, as well as international programmes involving countries such as Japan and Singapore.