AI and Machine Learning Platform for:

 

 

EvoPlexus Medics

At EvoPlexus Medics ApS, we focus on Precision Medicine and Individualised Healthcare mainly using our own Machine Learning and Artificial Intelligence Platform (patent pending), which was designed and developed originally by its founders, many years ago.

EvoPlexus Medics grew out from our consultancy company EvoPlexus, which has been active in providing R&D consultancy within the fields of Machine Learning, AI and Information Technology to various industries, including healthcare, education, communication etc. for several years, and with its founders being active in these fields for nearly two decades.

Currently we have several very high impact and interesting projects ongoing with various partners, hospitals, universities, government entities and private organisations. Using our past experiences from these fields, we try to identify bottlenecks and/or help in improving healthcare treatment planning, extraction and provision of deep patient health insights, and diagnosis for different patient cohorts. Our ultimate goal is to improve patient quality of life, make treatment and medication more precise and tailored to individual patients. Our work also result in reduced healthcare-related costs, with massive savings for certain health problems, for providers, society, and in certain situations also for the individual patients, besides better use of time for healthcare professionals. We conduct extensive R&D into individual health problems with experts within medicine, healthcare, social and data science. We are always aiming to find novel and more powerful algorithms and methods to make our models and solutions more precise.

Use Cases

Hospitalisation and Mortality Prediction

Hospitalisation and Mortality Prediction

Using Big Data and various Machine Learning algorithms and Ensembles in order to predict hospitalization and mortality in end-stage renal disease (ESRD) patients.

Behaviour Analyses – Social Partners

Behaviour Analyses – Social Partners

Analyses of management-employee relations at company level of multi-national companies, in order to identify patterns in attitude and collaboration.

Prediction of Health Complications

Prediction of Health Complications

Prediction of health complications of patients with certain diseases and/or illnesses, by means of detection of early signs and symptoms.

Identification of Cancer Biomarkers by Gene Expressions

Identification of Cancer Biomarkers by Gene Expressions

Identifying combinations of Gene Expressions in order to categorise and probability of certain patients being susceptible to ALM or AML Leukaemia.

Key Team Members

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Serkawt Khola, PhD, MIET, BEng(Hons)

Founder and CEO

Dr. Khola holds a PhD in Electronic Engineering with Focus on Genetic and Evolutionary Algorithms, with in-depth expertise in Machine Learning and Pattern Recognition. He has worked in Research and Development within the fields of Information Technology, Machine Learning, Pattern Recognition and Artificial Intelligence for over two decades at various public and private organisations, and academic institutions in several countries(Sweden, France, United Kingdom, Denmark, Belgium and others). He has also experience from large multi-national- and multi-disciplinary research and development projects, patent filing, scientific and academic publications etc.

LinkedIn Profile
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Brian Lindegaard Pedersen, MD, PhD

Advisory Board Member

Dr. Pedersen's expertise Areas include: Vascular surgery; Access surgery; Vascular ultrasound; Exercise and muscle research; Mitochondrial function in peripheral vascular disease and type 2 diabetes; Near infrared spectroscopy; Mitochondrial respiromitry; Magnetic resonance spectroscopy. His main research areas are: Muscle metabolism; Mitochondrial function in peripheral vascular disease and type 2 diabetes; Exercise testing of peripheral vascular disease and type 2 diabetes; Muscle perfusion Currently he conducts research on: Mitochondrial function, Perfusion and the effect of revascularization in peripheral vascular disease and type 2 diabetes.

LinkedIn Profile
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Nicky Androsov

Advisory Board Member - Legal Expert

Mrs. Androsov's expertise areas include: Intellectual property, E-Commerce, Information technology, Data protection, Freedom of information, Franchise and joint venture agreements, Terms and conditions of trading, Agency and distribution agreements, Medical Partnerships.

LinkedIn Profile
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Stefan Bengtson Nedaei, PhD

Nutrition Expert

Dr. Nedaei holds a PhD in Nanotoxicology and has a Master's Degree in Molecular and Medical Biology. He has worked within the field Human Nutrition in the past, which is also the field of his Bachelor's Degree. Currently, he is active in the BioTech industry, being involved in several activities and projects within genetic science. Besides these fields, he has also interests for software programming, Machine Learning and Computer Science in general. Integrating and combining these later fields with his biological expertise, has paved the ground for his current research interests.

LinkedIn Profile
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Trine Larsen, PhD, Assoc. Prof.

Advisory Board Member

Dr. Larsen holds a Ph.D. in Social Policy from the University of Kent, UK with in-depth knowledge of European industrial relations, work-life balance policies and non-standard employment. She has worked in academia within the field of sociology and has been affiliated with different world-leading universities (University of Copenhagen, University of Sorbonne, University of Kent, University of Salahaddin). She has researched, managed large scale projects and published within high ranked international journals. She has recently started in close collaboration with AI experts to apply Machine Learning algorithms to the field of sociology, more specifically industrial relations, management-employee relations and segmented labour markets.

LinkedIn Profile
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Cyrus Zamany, Cand. Med. (Switzerland)

Medical Project Collaborator

Cyrus is presently pursuing his fifth year of Medical Studies in Denmark, and currently doing a clinical elective at the University Hospital of Zurich. Along his studies, he has also been working as a nurse assistant at various hospitals, including hospitals within the capital region of Denmark. Prior to starting his medical studies, Cyrus had been also working part-time developing software. Besides his medical studies, he has a great interest in Machine Learning and Artificial Intelligence, and combining his knowledge and experiences within these fields, to research and apply these technologies and sciences to Precision Medicine and Treatments tailored to individual patients.

 

 

LinkedIn Profile
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Vidhyashree Murthy

HR, Research - Intern

Mrs. Murthy has a Masters degree in Software Engineering. Besides software engineering, she has also been working within Recruitment and Human Resources management. Using her technical and administrative skills combined with her human resources interests, she can and has been involved in the full-cycle recruitment process, Social Media Marketing and Communication.

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