Наукові конференції України, Х ВСЕУКРАЇНСЬКОЇ СТУДЕНТСЬКОЇ НАУКОВО-ПРАКТИЧНОЇ КОНФЕРЕНЦІЇ SIGNIFICANT ACHIEVEMENTS IN SCIENCE AND TECHNOLOGY / ВИЗНАЧ

Розмір шрифту: 
THE INFLUENCE OF CONVERGENCE ON NANOTECHNOLOGY
Yana Morozova

Остання редакція: 2026-01-21

Тези доповіді


Nanotechnology operates on a molecular level, manipulating materials smaller than 100 nanometers to drive innovations in fields like medicine, energy, environmental sciences, and materials science. Key to its advancement is convergence with fields such as biotechnology, artificial intelligence (AI), cognitive science, and environmental sciences, enabling the development of precise tools that can transform diagnostics, treatment, and more.

One of nanotechnology’s most impactful applications is targeted drug delivery, where nanoparticles deliver drugs directly to specific cells or tissues, enhancing effectiveness and reducing side effects. This targeted approach is especially useful in cancer treatment, as drugs can reach cancer cells without harming healthy ones. By combining nanotechnology with machine learning, sensor-driven drug delivery systems adapt to real-time data, enabling personalized treatments tailored to individual patient needs.

In addition to drug delivery, nanoscale materials are advancing brain-machine interfaces (BMIs) by improving electrode sensitivity and compatibility with brain tissue. This convergence of nanotechnology and cognitive science opens doors for new treatments of neurological disorders like Parkinson’s and epilepsy, advancing diagnostic and therapeutic options.

Nanotechnology’s integration with biotechnology has spurred advancements in genetic engineering and regenerative medicine. Nanomaterials, such as quantum dots and gold nanoparticles, enhance diagnostic imaging due to their unique optical properties, while carbon nanotubes show promise in drug delivery and tissue regeneration. These technologies improve treatment precision and patient outcomes.

The combination of nanotechnology and AI is driving the development of “smart” diagnostic tools, such as AI-powered nanosensors, which can detect biomarkers of diseases earlier than traditional methods. AI algorithms in these sensors help improve diagnostic speed and accuracy. In neuromorphic computing, nanotechnology is also aiding the development of circuits that mimic human neurons, potentially transforming computing and robotics.

Despite these benefits, challenges remain, especially around the environmental and health risks of nanomaterials. As usage grows, it’s critical to understand their interactions with biological and environmental systems. Research into their long-term effects and regulatory frameworks are essential to ensure safe and responsible use.

Looking ahead, nanotechnology is expected to bring further breakthroughs in areas like tissue engineering and renewable energy, supporting sustainable development and positioning nanotechnology as a transformative force across sectors.

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