Research

In the global market, IT companies in the healthcare sector have already multiplied their turnover compared to traditional approaches. Pharmaceutical companies have already started experimenting with machine learning to design new drugs. Assistive technologies such as e-care systems, preventive care systems, home interactive robots for medical support and entertainment, and surveillance systems are already used by nursing staff to assist older people, focusing on understanding and satisfying human needs. Robots and AI applications to assist the elderly offer independence from mobility impairments, increase safety and confidence, enhance emotional well-being, improve intellectually, and negate the frustration of alienating the aging human body. Positive psychology stimulates the body and stimulates the mood for life. After centuries of methodological scientific documentation and experimentation, evolutionary research is success fully based in interdisciplinary fields,  where  the treatment of diseases can promise

significant improvements in longevity and quality of life. In our Research and Development Center, the staff members are senior researchers and distinguished scientists with many publications in high-impact journals and published books, focusing on Cross-Field research areas, including (but not limited to) subtopics like Big Data Analysis, IoT, Artificial Intelligence, Agriculture, Computational Biomedicine, Bioinformatics, Neuroinformatics, Bayesian Statistics, Cancer, developing medical decision support systems, predictive algorithms, and diagnostic tools in neurodegenerative diseases, identifying molecular mechanisms of infectious diseases, Immunopharmacology, Nanotechnology, Psychology, Special Education, Digital Education, and Bioethics.

Funogen has an active and successful collaboration with several institutions worldwide, leading to joint publications and projects.

Nowadays, focusing primarily on Autism Spectrum Disorder and Alzheimer’s Disease, Funogen’s Biomedical Department works on identifying new, efficient, non-invasive, and low-cost biomarkers to improve the ‘Aging Cure and Care’ inside Europe and globally. New software that will detect Alzheimer’s severity via the assessment of stimuli is under modeling, designing, and production.

Our team is working on using enrichment environments to correlate brain activity, brain waves, and consciousness or unconscious behavior. Our efforts will help to reduce social inequalities, eliminate alienation phenomena, and study ways of integrating isolated people into social environments.