Biomedical Text Mining
Artificial intelligence and natural language processing methods for extracting, classifying, and analyzing biomedical information from scientific and clinical text.
Biomedical & Intelligent Systems Laboratory
Advancing Biomedical Engineering through Artificial Intelligence
BIS-LAB is a multidisciplinary research laboratory at Universidad del Bío-Bío focused on the convergence of Biomedical Engineering and Artificial Intelligence.
Department of Electrical and Electronic Engineering
Universidad del Bío-Bío · Concepción, Chile
About BIS-LAB
A multidisciplinary research hub
The Biomedical & Intelligent Systems Laboratory at Universidad del Bío-Bío brings together researchers working at the intersection of Biomedical Engineering and Artificial Intelligence.
BIS-LAB develops research in biomedical text mining, biomedical imaging, biomedical electronics, and biomedical signal processing, with a strong focus on intelligent systems, assistive technologies, scientific collaboration, and applied research.
4
Research areas
4
Researchers & collaborators
5
R&D projects
11+
Recent publications
Research
Research areas
Our research combines biomedical engineering, computational methods, artificial intelligence, and intelligent hardware.
Biomedical Imaging
Computational methods and artificial intelligence for biomedical and medical image analysis, interpretation, and decision support.
Biomedical Electronics
Development of electronic systems, sensing platforms, and assistive technologies for biomedical engineering applications.
Biomedical Signal Processing
Analysis and processing of physiological and biomedical signals for monitoring, stimulation, rehabilitation, and intelligent health technologies.
Research Infrastructure
From high-performance computing to rapid prototyping
BIS-LAB maintains a specialized hardware ecosystem for AI development, biomedical engineering, embedded systems, and experimental prototyping.
High-Performance Computing
GPU-accelerated computing infrastructure for artificial intelligence, computer vision, and biomedical data processing.
- •Intel Core i9 workstations
- •NVIDIA RTX 5060 Ti — 16 GB
- •NVIDIA RTX 5090 — 32 GB (upcoming)
- •Up to 192 GB RAM
Edge AI & Embedded Systems
Embedded platforms for intelligent sensing, computer vision, rapid experimentation, and edge AI deployment.
- •NVIDIA Jetson Nano
- •Raspberry Pi — 16 GB
- •Raspberry Pi Cameras
- •Raspberry Pi AI Cameras
- •ESP32
- •Arduino UNO
Extended Reality
Immersive hardware for experimentation in visualization, interaction, assistive systems, and biomedical applications.
- •Meta Quest 3S
Fabrication & Electronics
Infrastructure for rapid prototyping, electronic development, instrumentation, and experimental hardware.
- •Creality 3D printer
- •PLA fabrication materials
- •Oscilloscope
- •Power supply
- •Soldering station
People
BIS-LAB team
Current Members
Biomedical Text Mining
Dr. Christopher Flores Jara
Universidad del Bío-Bío
View profile
Biomedical Imaging
Dr. Claudio Román Godoy
Universidad del Bío-Bío
View profile
External Collaborators
R&D
Selected projects
External Project
Audio Aid
Intelligent Sound Localization System for Unilateral Hearing Loss
FONDEF IDeA I+D
Dr. Christopher Flores
Approx. USD 246,000
External Project
Computer Vision System for the Early Detection of Quarantine Pests on Vessels Arriving at Chilean Ports
FIC Advanced Human Capital in Artificial Intelligence for the Biobío Region
Dr. Christopher Flores
Internal Project
VISIA: Artificial Intelligence-Based Assistive Device for People with Visual Disabilities
Exploratory R&D Projects Competition
Dr. Christopher Flores
Scientific Output
Selected publications
2026
Journal Article
Accelerating active learning for image classification through FPGA-based implementation
A. Barbieri, C. Flores, W. Valenzuela, and F. Saavedra
Sensors, vol. 26, no. 12, Art. no. 3743
2025
Conference Paper
Low-cost eye-tracking-based assistive device for environmental control in users with reduced mobility
E. G. Suazo, E. C. Vega, C. Flores, and F. Saavedra
Advances in Bioengineering and Clinical Engineering 2025, IFMBE Proceedings, vol. 136, pp. 1668–1681
2025
Conference Paper
Active learning in biomedical text classification using a bag-of-regular-expressions approach
C. Flores and R. Verschae
38th IEEE International Symposium on Computer-Based Medical Systems (CBMS), Madrid, Spain, pp. 208–213
News
Latest news
BIS-LAB leads new FONDEF IDeA I+D project
Dr. Christopher Flores has assumed the role of Director of the FONDEF IDeA I+D project “Audio Aid: Intelligent Sound Localization System for Unilateral Hearing Loss”, with total funding of approximately USD 246,000.
Prof. Francisco Saavedra begins new position at UdeC
BIS-LAB thanks Prof. Francisco Saavedra for his contributions to the laboratory and congratulates him as he begins his role as Assistant Professor at Universidad de Concepción.
Prof. Claudio Román joins BIS-LAB
BIS-LAB welcomes Prof. Claudio Román. His expertise and experience strengthen the laboratory’s research and collaboration activities.
Contact
Interested in research, collaboration, or joining BIS-LAB?
Biomedical & Intelligent Systems Laboratory
Department of Electrical and Electronic Engineering
Universidad del Bío-Bío
Concepción, Chile