The Pulse of Progress

Breakthroughs from Biomedical Engineering's Global Network

Engineering Healthier Futures

The International Federation for Medical and Biological Engineering (IFMBE) orchestrates a symphony of innovation across 60+ societies, where scientists combat diabetes with artificial intelligence, design assistive tech for aging populations, and push diagnostic boundaries. When Professor Shanbao Tong received Springer Nature's Editorial Contribution Award in 2025 for advancing Medical & Biological Engineering & Computing, it epitomized IFMBE's ethos: translating laboratory insights into life-saving tools 1 3 . This article unveils recent milestones from this collaborative powerhouse, focusing on diabetes technology revolution, leadership shifts, and global knowledge-sharing initiatives redefining healthcare.

1. Society Spotlight: Pioneering Projects & Leadership

1.1 Latin America's Decade of Healthcare Innovation

Latin American researchers working in lab

Celebrating its 10th anniversary, the IFMBE Latin America Summer School trained a new generation in "Emerging Technologies for Independent Living" at Pontificia Universidad Javeriana. This program—sponsored by IFMBE and Colombian health agencies—equips engineers with skills to develop wearable sensors and AI-driven telehealth platforms for elderly care, addressing regional healthcare disparities 1 3 .

1.2 Global Leadership Transition

The 2025 IFMBE elections ushered in critical leadership changes:

  • Professor Virginia Ballarin (Argentina) as new Vice President
  • Professor Leandro Pecchia and Professor Maria Fernanda Cabrera reappointed as Secretary General and Treasurer 1 3 .

This trio will steer initiatives like the Students and Early Career Researchers Travel Fellowship for the 2025 World Congress, prioritizing intercontinental mentorship 3 .

Table 1: Upcoming IFMBE-Affiliated Conferences
Event Date/Location Key Focus Areas Publication Indexing
BIBE 2025 Aug 11–13, Guiyang Genomics, AI diagnostics, medical sensors IEEE Xplore, Scopus, EI Compendex 5
ICNBME-2025 Oct 7–10, Chisinau Nanotech, biomaterials, rehabilitation IFMBE Proceedings (Springer) 8
IUPESM World Congress Jun 2025, Adelaide Medical imaging, AI ethics, photography Competition awards 7

2. Technical Deep Dive: The Artificial Pancreas Revolution

2.1 From Algorithms to Clinical Impact

Artificial pancreas device

Closed-loop artificial pancreas systems (APS) represent IFMBE's flagship innovation for type 1 diabetes. These systems integrate:

  • Continuous glucose monitors (CGMs) tracking interstitial fluid sugar levels
  • Insulin pumps delivering micro-doses
  • Control algorithms making autonomous dosing decisions 4 6 .

Recent advances overcome historical hurdles like hypoglycemia risks and meal-response delays. The Minimed 780G (Medtronic) and CamAPS FX (CamDiab) now utilize adaptive model predictive control (MPC) that learns individual metabolic patterns, boosting time-in-target-glucose-range by 15–20% compared to manual pumps 2 6 .

2.2 Dual-Hormone Breakthroughs

Beta Bionics' iLet APS incorporates glucagon alongside insulin—a paradigm shift reducing hypoglycemia events by 92% in trials. When glucose dips below 70 mg/dL, micro-glucagon boluses counteract insulin's effects, mimicking natural pancreatic function 4 6 .

Table 2: APS Control Algorithm Comparison
Algorithm Type Mechanism Advantages Limitations
PID Control Adjusts insulin based on real-time glucose error Simple implementation Struggles with meal delays 9
Model Predictive (MPC) Forecasts glucose using patient models Preempts highs/lows; personalized Requires complex tuning 2
AI-Based Systems Machine learning from historical data Adapts to exercise/stress factors Limited clinical validation 2

3. Featured Experiment: Intelligent Multiple-Model PID Control

3.1 Methodology: Precision Through Personalization

A landmark 2025 study published in IEEE EMBS detailed a novel APS strategy tested on the UVA/Padova metabolic simulator:

  1. Patient Clustering: Virtual patients grouped into 6 sub-models based on insulin sensitivity/carb ratios.
  2. PID Controller Bank: Each group assigned a dedicated PID controller tuned via genetic algorithms.
  3. Fuzzy Gain Scheduling: A decision layer weighted controllers' outputs dynamically. Example: After meal ingestion, weights shifted toward high-sensitivity controllers to prevent hyperglycemia.
  4. Safety Layers:
    • Insulin-on-Board (IOB) constraints capped doses if active insulin exceeded thresholds.
    • Pump shut-off triggered at predicted glucose <80 mg/dL 9 .

3.2 Results & Implications

The system achieved:

  • 88% time-in-range (70–180 mg/dL) vs. 73% for single PID systems.
  • Zero severe hypoglycemia (<54 mg/dL) due to IOB constraints.
  • Adaptive performance during simulated exercise and missed meals.

This framework bridges simplicity (PID) and adaptability (AI), offering a clinically viable path for FCL (fully closed-loop) systems 9 .

Table 3: Key Outcomes of Multiple-Model PID Experiment
Metric Standard PID Multiple-Model PID Improvement
Time-in-Range (%) 73 88 +15%
Hypoglycemia Events 5.2/day 0.8/day -85%
Post-Meal Glucose Spikes >250 mg/dL <210 mg/dL -16%

4. Global Initiatives & Ethical Frontiers

4.1 AI Ethics & Open-Source Movements

AI ethics concept

UNESCO's Beruniy Prize, co-funded by Uzbekistan, now recognizes research on "Ethics of Artificial Intelligence" in medicine. This aligns with IFMBE's advocacy for transparent algorithms in devices like APS 3 . Simultaneously, the "#WeAreNotWaiting" DIY APS movement—using open-source algorithms like OpenAPS—has driven commercial innovation, pressuring companies to prioritize user customization 4 6 .

4.2 Democratizing Biomedical Training

Diverse researchers collaborating

IFMBE's Travel Fellowships enable engineers from low-income nations to attend workshops like the 2025 Patras reunion of the Erasmus BME Program. Such initiatives seed global innovation networks, as seen in Colombia's summer school alumni launching low-cost CGM startups 1 3 .

5. The Scientist's Toolkit: APS Research Essentials

Table 4: Core Reagents & Technologies in APS Development
Tool Function Example Products/Protocols
Synthetic Glucagon Counteracts hypoglycemia in dual-hormone APS Xeris Glucagonâ„¢; stable liquid formulation 6
Glucose Clamps Creates steady glucose levels for testing Biostator® system; gold standard validation 4
Metabolic Simulators Tests algorithms virtually before human trials UVA/Padova T1DM Simulator (FDA-approved) 9
Fuzzy Logic Chips Enables adaptive control decisions Texas Instruments F28004x microcontrollers 9
Wearable Osmotic Patches Sustained hormone delivery Insulet Omnipod® 5 tubeless pump 6

Conclusion: Engineering Humanity's Healthier Tomorrow

Global collaboration in science

From Colombia's summer schools to Chisinau's nanotechnology conferences, IFMBE's network epitomizes biomedicine's collaborative spirit. As APS algorithms evolve toward full autonomy and societies prioritize ethical AI, these engineers aren't just building devices—they're redesigning hope for millions. With Professor Ballarin's new leadership and UNESCO-backed ethics frameworks, the federation ensures innovation remains for humanity—not just for technology's sake. As the 2025 World Congress convenes in Adelaide, one truth echoes: Tomorrow's healthcare was imagined today in IFMBE's global labs 1 3 7 .

(For further details on IFMBE initiatives, visit ifmbe.org or explore the Diabetes & Metabolism Journal's 2021 APS review 4 6 ).

References