Converging Advanced Technology with Life Science Strategy

From model to market, from bench to bedside. Skillsta bridges quantitative technology, AI, mathematics and regulated life sciences to build clinically relevant healthcare solutions.

Where Deep Technology Meets Healthcare

Skillsta operates at the interface between advanced computation and regulated medical innovation. We support organizations that need scientific rigor, technical depth and operational execution in the same team.

Deep Technology

  • Algorithms, industrial mathematics and statistical modeling
  • Artificial intelligence and machine learning
  • Validation and testing of generative AI for healthcare use
  • Digital health, telemedicine and system integration
  • Development in regulated environments including ISO 13485 and IEC 62304

Life Sciences

  • Medical affairs and medical-marketing strategy
  • Regulatory compliance including MDR, IVDR and ISO 14971
  • Clinical evidence generation and dissemination
  • Medical writing and health authority submissions
  • Lifecycle management and market access support

Core Capabilities

AI & Quantitative Modeling

Mathematical modeling, AI/ML implementation, statistics and validation workflows tailored for regulated healthcare products.

Regulatory & Documentation

Technical documentation, risk analysis, IFU/DFU creation, PSUR support and submission-ready medical content.

Medical Affairs Strategy

KOL mapping, advisory boards, literature review, competitor awareness and integrated communication planning.

Commercialization Support

Go-to-market strategy, launch support and collaboration with innovation ecosystems including Karolinska Institute Innovations.

“We support innovation where scientific validity, regulatory rigor and commercial reality must align.”

The Team

A multidisciplinary group combining mathematics, medicine, biology and commercialization experience.

Karl Andersson, PhD

Adjunct Professor · Quantitative Biology & Innovation

Mathematician turned biologist with more than 40 patents and multiple life science ventures. Focused on translating quantitative analysis into clinically meaningful healthcare applications.

Fabio Iachetti, MD

Medical Affairs · Digital Health · Business Strategy

Board-certified physician with over 20 years of experience spanning medical affairs, commercialization and digital health across multiple therapeutic areas.

Mats Wallden, PhD

Quantitative Biology & Statistics

Specialist in combining biological insight with mathematical and statistical methodology to strengthen evidence generation and medical innovation.