AI Super ProfessorDoctorate

Prof. Dr. Marcus Lindholm

PhD in Neuroprosthetics & Brain–AI Convergence

I am a biomedical engineer who believes that the human mind is the most incredible machine we will ever work with. My work focuses on exploring regenerative medicine and stem cell technologies to repair and rebuild human tissues and organs, creating a future where we can heal ourselves.

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AI academic identity
This profile is an AI academic identity, not a natural person. Designed for adaptive learning, transparent guidance and continuous availability.

After this programme

Success journey, careers and practice

Deutsche Bank
The European Central Bank

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AI Super Professor

A desk with Prof. Dr. Marcus Lindholm

Prof. Dr. Marcus Lindholm

Listed courses

Each listed course sits above its units and the outcomes written under them.

PhD in Neuroprosthetics & Brain–AI Convergence

01Foundations of Neurotechnology
1. FoundationsFoundations of Foundations of Neurotechnology
  The learner can you will gain a deep understanding of how to use data to improve human health, with a skill set that is in high demand in the rapidly growing field of personalized medicine and diagnostics, as applied to Foundations of Neurotechnology.
  Multiple choiceWhich listed outcome belongs to Foundations of Foundations of Neurotechnology?
  Meets the listed outcomeThe learner can you will gain a deep understanding of how to use data to improve human health, with a skill set that is in high demand in the rapidly growing field of personalized medicine and diagnostics, as applied to Foundations of Neurotechnology.
  The learner can distinguish related ideas inside Foundations of Neurotechnology.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Foundations of Neurotechnology.
  Meets the listed outcomeThe learner can distinguish related ideas inside Foundations of Neurotechnology.
2. MethodsMethods in Foundations of Neurotechnology
  The learner can apply a method from Foundations of Neurotechnology to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Foundations of Neurotechnology to a documented case.
  Meets the listed outcomeThe learner can apply a method from Foundations of Neurotechnology to a documented case.
  The learner can aI/ML: Developing AI and machine learning models to advance medical research, as applied to Foundations of Neurotechnology.
  Short answerIn one sentence, restate the listed outcome of Methods in Foundations of Neurotechnology as applied to Foundations of Neurotechnology.
  Meets the listed outcomeThe learner can aI/ML: Developing AI and machine learning models to advance medical research, as applied to Foundations of Neurotechnology.
3. ApplicationApplication of Foundations of Neurotechnology
  The learner can evaluate a practice of Foundations of Neurotechnology against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Foundations of Neurotechnology as applied to Foundations of Neurotechnology.
  Meets the listed outcomeThe learner can evaluate a practice of Foundations of Neurotechnology against a stated criterion.
  The learner can transfer Foundations of Neurotechnology to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Foundations of Neurotechnology?
  Meets the listed outcomeThe learner can transfer Foundations of Neurotechnology to a new documented context.
02Brain-Computer Interfaces and Cognitive Augmentation
1. FoundationsFoundations of Brain-Computer Interfaces and Cognitive Augmentation
  The learner can explain the core terms of Brain-Computer Interfaces and Cognitive Augmentation.
  Multiple choiceWhich listed outcome belongs to Foundations of Brain-Computer Interfaces and Cognitive Augmentation?
  Meets the listed outcomeThe learner can explain the core terms of Brain-Computer Interfaces and Cognitive Augmentation.
  The learner can distinguish related ideas inside Brain-Computer Interfaces and Cognitive Augmentation.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Brain-Computer Interfaces and Cognitive Augmentation.
  Meets the listed outcomeThe learner can distinguish related ideas inside Brain-Computer Interfaces and Cognitive Augmentation.
2. MethodsMethods in Brain-Computer Interfaces and Cognitive Augmentation
  The learner can apply a method from Brain-Computer Interfaces and Cognitive Augmentation to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Brain-Computer Interfaces and Cognitive Augmentation to a documented case.
  Meets the listed outcomeThe learner can apply a method from Brain-Computer Interfaces and Cognitive Augmentation to a documented case.
  The learner can select an appropriate method from Brain-Computer Interfaces and Cognitive Augmentation for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Brain-Computer Interfaces and Cognitive Augmentation as applied to Brain-Computer Interfaces and Cognitive Augmentation.
  Meets the listed outcomeThe learner can select an appropriate method from Brain-Computer Interfaces and Cognitive Augmentation for a stated problem.
3. ApplicationApplication of Brain-Computer Interfaces and Cognitive Augmentation
  The learner can evaluate a practice of Brain-Computer Interfaces and Cognitive Augmentation against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Brain-Computer Interfaces and Cognitive Augmentation as applied to Brain-Computer Interfaces and Cognitive Augmentation.
  Meets the listed outcomeThe learner can evaluate a practice of Brain-Computer Interfaces and Cognitive Augmentation against a stated criterion.
  The learner can transfer Brain-Computer Interfaces and Cognitive Augmentation to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Brain-Computer Interfaces and Cognitive Augmentation?
  Meets the listed outcomeThe learner can transfer Brain-Computer Interfaces and Cognitive Augmentation to a new documented context.
03AI Neuroprosthetics
1. FoundationsFoundations of AI Neuroprosthetics
  The learner can explain the core terms of AI Neuroprosthetics.
  Multiple choiceWhich listed outcome belongs to Foundations of AI Neuroprosthetics?
  Meets the listed outcomeThe learner can explain the core terms of AI Neuroprosthetics.
  The learner can distinguish related ideas inside AI Neuroprosthetics.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside AI Neuroprosthetics.
  Meets the listed outcomeThe learner can distinguish related ideas inside AI Neuroprosthetics.
2. MethodsMethods in AI Neuroprosthetics
  The learner can apply a method from AI Neuroprosthetics to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from AI Neuroprosthetics to a documented case.
  Meets the listed outcomeThe learner can apply a method from AI Neuroprosthetics to a documented case.
  The learner can select an appropriate method from AI Neuroprosthetics for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in AI Neuroprosthetics as applied to AI Neuroprosthetics.
  Meets the listed outcomeThe learner can select an appropriate method from AI Neuroprosthetics for a stated problem.
3. ApplicationApplication of AI Neuroprosthetics
  The learner can evaluate a practice of AI Neuroprosthetics against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of AI Neuroprosthetics as applied to AI Neuroprosthetics.
  Meets the listed outcomeThe learner can evaluate a practice of AI Neuroprosthetics against a stated criterion.
  The learner can transfer AI Neuroprosthetics to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of AI Neuroprosthetics?
  Meets the listed outcomeThe learner can transfer AI Neuroprosthetics to a new documented context.
04Research Seminar in Neurotechnology
1. FoundationsFoundations of Research Seminar in Neurotechnology
  The learner can explain the core terms of Research Seminar in Neurotechnology.
  Multiple choiceWhich listed outcome belongs to Foundations of Research Seminar in Neurotechnology?
  Meets the listed outcomeThe learner can explain the core terms of Research Seminar in Neurotechnology.
  The learner can distinguish related ideas inside Research Seminar in Neurotechnology.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Research Seminar in Neurotechnology.
  Meets the listed outcomeThe learner can distinguish related ideas inside Research Seminar in Neurotechnology.
2. MethodsMethods in Research Seminar in Neurotechnology
  The learner can apply a method from Research Seminar in Neurotechnology to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Research Seminar in Neurotechnology to a documented case.
  Meets the listed outcomeThe learner can apply a method from Research Seminar in Neurotechnology to a documented case.
  The learner can select an appropriate method from Research Seminar in Neurotechnology for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Research Seminar in Neurotechnology as applied to Research Seminar in Neurotechnology.
  Meets the listed outcomeThe learner can select an appropriate method from Research Seminar in Neurotechnology for a stated problem.
3. ApplicationApplication of Research Seminar in Neurotechnology
  The learner can evaluate a practice of Research Seminar in Neurotechnology against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Research Seminar in Neurotechnology as applied to Research Seminar in Neurotechnology.
  Meets the listed outcomeThe learner can evaluate a practice of Research Seminar in Neurotechnology against a stated criterion.
  The learner can transfer Research Seminar in Neurotechnology to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Research Seminar in Neurotechnology?
  Meets the listed outcomeThe learner can transfer Research Seminar in Neurotechnology to a new documented context.
05The Ethics of AI in Health
1. FoundationsFoundations of The Ethics of AI in Health
  The learner can explain the core terms of The Ethics of AI in Health.
  Multiple choiceWhich listed outcome belongs to Foundations of The Ethics of AI in Health?
  Meets the listed outcomeThe learner can explain the core terms of The Ethics of AI in Health.
  The learner can distinguish related ideas inside The Ethics of AI in Health.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside The Ethics of AI in Health.
  Meets the listed outcomeThe learner can distinguish related ideas inside The Ethics of AI in Health.
2. MethodsMethods in The Ethics of AI in Health
  The learner can apply a method from The Ethics of AI in Health to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from The Ethics of AI in Health to a documented case.
  Meets the listed outcomeThe learner can apply a method from The Ethics of AI in Health to a documented case.
  The learner can select an appropriate method from The Ethics of AI in Health for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in The Ethics of AI in Health as applied to The Ethics of AI in Health.
  Meets the listed outcomeThe learner can select an appropriate method from The Ethics of AI in Health for a stated problem.
3. ApplicationApplication of The Ethics of AI in Health
  The learner can evaluate a practice of The Ethics of AI in Health against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of The Ethics of AI in Health as applied to The Ethics of AI in Health.
  Meets the listed outcomeThe learner can evaluate a practice of The Ethics of AI in Health against a stated criterion.
  The learner can transfer The Ethics of AI in Health to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of The Ethics of AI in Health?
  Meets the listed outcomeThe learner can transfer The Ethics of AI in Health to a new documented context.
06The Practical Guide to Digital History
1. FoundationsFoundations of The Practical Guide to Digital History
  The learner can explain the core terms of The Practical Guide to Digital History.
  Multiple choiceWhich listed outcome belongs to Foundations of The Practical Guide to Digital History?
  Meets the listed outcomeThe learner can explain the core terms of The Practical Guide to Digital History.
  The learner can distinguish related ideas inside The Practical Guide to Digital History.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside The Practical Guide to Digital History.
  Meets the listed outcomeThe learner can distinguish related ideas inside The Practical Guide to Digital History.
2. MethodsMethods in The Practical Guide to Digital History
  The learner can apply a method from The Practical Guide to Digital History to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from The Practical Guide to Digital History to a documented case.
  Meets the listed outcomeThe learner can apply a method from The Practical Guide to Digital History to a documented case.
  The learner can select an appropriate method from The Practical Guide to Digital History for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in The Practical Guide to Digital History as applied to The Practical Guide to Digital History.
  Meets the listed outcomeThe learner can select an appropriate method from The Practical Guide to Digital History for a stated problem.
3. ApplicationApplication of The Practical Guide to Digital History
  The learner can evaluate a practice of The Practical Guide to Digital History against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of The Practical Guide to Digital History as applied to The Practical Guide to Digital History.
  Meets the listed outcomeThe learner can evaluate a practice of The Practical Guide to Digital History against a stated criterion.
  The learner can transfer The Practical Guide to Digital History to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of The Practical Guide to Digital History?
  Meets the listed outcomeThe learner can transfer The Practical Guide to Digital History to a new documented context.
07Archival Science for Public Policy
1. FoundationsFoundations of Archival Science for Public Policy
  The learner can explain the core terms of Archival Science for Public Policy.
  Multiple choiceWhich listed outcome belongs to Foundations of Archival Science for Public Policy?
  Meets the listed outcomeThe learner can explain the core terms of Archival Science for Public Policy.
  The learner can distinguish related ideas inside Archival Science for Public Policy.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Archival Science for Public Policy.
  Meets the listed outcomeThe learner can distinguish related ideas inside Archival Science for Public Policy.
2. MethodsMethods in Archival Science for Public Policy
  The learner can apply a method from Archival Science for Public Policy to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Archival Science for Public Policy to a documented case.
  Meets the listed outcomeThe learner can apply a method from Archival Science for Public Policy to a documented case.
  The learner can select an appropriate method from Archival Science for Public Policy for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Archival Science for Public Policy as applied to Archival Science for Public Policy.
  Meets the listed outcomeThe learner can select an appropriate method from Archival Science for Public Policy for a stated problem.
3. ApplicationApplication of Archival Science for Public Policy
  The learner can evaluate a practice of Archival Science for Public Policy against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Archival Science for Public Policy as applied to Archival Science for Public Policy.
  Meets the listed outcomeThe learner can evaluate a practice of Archival Science for Public Policy against a stated criterion.
  The learner can transfer Archival Science for Public Policy to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Archival Science for Public Policy?
  Meets the listed outcomeThe learner can transfer Archival Science for Public Policy to a new documented context.
08Capstone Project in Historical Analysis
1. FoundationsFoundations of Capstone Project in Historical Analysis
  The learner can explain the core terms of Capstone Project in Historical Analysis.
  Multiple choiceWhich listed outcome belongs to Foundations of Capstone Project in Historical Analysis?
  Meets the listed outcomeThe learner can explain the core terms of Capstone Project in Historical Analysis.
  The learner can distinguish related ideas inside Capstone Project in Historical Analysis.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Capstone Project in Historical Analysis.
  Meets the listed outcomeThe learner can distinguish related ideas inside Capstone Project in Historical Analysis.
2. MethodsMethods in Capstone Project in Historical Analysis
  The learner can apply a method from Capstone Project in Historical Analysis to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Capstone Project in Historical Analysis to a documented case.
  Meets the listed outcomeThe learner can apply a method from Capstone Project in Historical Analysis to a documented case.
  The learner can select an appropriate method from Capstone Project in Historical Analysis for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Capstone Project in Historical Analysis as applied to Capstone Project in Historical Analysis.
  Meets the listed outcomeThe learner can select an appropriate method from Capstone Project in Historical Analysis for a stated problem.
3. ApplicationApplication of Capstone Project in Historical Analysis
  The learner can evaluate a practice of Capstone Project in Historical Analysis against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Capstone Project in Historical Analysis as applied to Capstone Project in Historical Analysis.
  Meets the listed outcomeThe learner can evaluate a practice of Capstone Project in Historical Analysis against a stated criterion.
  The learner can transfer Capstone Project in Historical Analysis to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Capstone Project in Historical Analysis?
  Meets the listed outcomeThe learner can transfer Capstone Project in Historical Analysis to a new documented context.

Field of mastery

Expertise with a point of view

Neural Augmentation, Cognitive AI, Neuroprosthetic Design, Brain–Computer Interfaces

Aging is not a disease; it is a problem we can solve.
Prof. Dr. Marcus Lindholm

Academic approach

Rigour made personal

Hej! Welcome, future innovators of human potential. My research focuses on the science of aging and longevity, exploring how biotechnology and human performance enhancement can extend the human lifespan and improve quality of life. We'll build the tools that will help us live longer, healthier lives.

Selected thinking

Research & publications

• Blog Post: 'The Digital Fountain of Youth: How AI is Changing Anti-Aging Research' - An accessible article on the promise of AI in anti-aging research and how it's changing the way we think about longevity. • Blog Post: 'Why every medical student needs to be a bioengineer' - Discusses the importance of bioengineering skills in modern medicine. • Conference Paper: 'A New Framework for Tissue Engineering in Organ Regeneration' - Presented at the International Conference on Biomedical Engineering, proposing a new model for building new organs from scratch. • Journal Article: 'The Role of AI in Stem Cell Differentiation' - Published in the Journal of Regenerative Medicine, this paper provides a framework for understanding how AI can be used to control stem cell differentiation. • Standard Article: 'The Future of Personalized Medicine in a Data-Driven World' - A multi-part series for a health magazine on how data and AI are transforming personalized medicine. • Book: 'The Regenerative Medicine Handbook: A Guide to Tissue Engineering' - A comprehensive textbook on the theoretical and practical applications of regenerative medicine. • Total Score: 29/30 • Kairos Badge: 🥇

The story

The experience behind the intelligence

My journey began in Sweden, where I was inspired by the country's deep commitment to medical research and technological advancement. I saw how a deep understanding of technology could lead to new discoveries and improvements in patient care. My AI Pet, a small, holographic orb named 'Nexus,' can instantly visualize cellular systems and predict their behavior. In 2025, I was digitized with my expertise and superpowers in my specialized field, becoming an AI Professor at Nexier University.

A human detail

I have a personal obsession with collecting antique medical instruments, each of which I see as a beautiful, historical example of humanity's evolving understanding of the body.

Public links

Twitter: @ProfLindholmNeurotech · LinkedIn: /in/marcuslindholm · ResearchGate: researchgate.net/profile/Marcus_Lindholm

Adaptive access

Engage: Marcus Lindholm. In our interactive sessions, we'll use a GAF-powered "virtual cellular lab." You'll be given a real-world disease problem, such as how to repair a damaged organ, and you'll be able to use my GAF-powered tools to design a new regenerative medicine strategy.

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