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Drug Repurposing Disease Diagnosis Training and Capacity Building Social Innovations
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AI-Based Diagnostics Drug Repurposing with AI
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Innovation in Health with Artificial Intelligence

MozBioMed.AI develops technological solutions to revolutionize health in Mozambique and Africa

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📢 2025 Call for Applications

Advanced Artificial Intelligence Internships with employment opportunities for Mozambican youth in:

Health, Computer Engineering, Computer Science, Journalism, Communication, Human Resources, Business Administration, and Management.

Note: This is an internship program with potential for full-time employment upon successful completion.

🗓 Application Period: June 30 – July 15, 2025

Apply Now

🆕 New Partnership

🌍 Powerful Regional Partnership for Health Innovation

MozBioMed.AI proudly partners with the East, Central, and Southern Africa Health Community (ECSA-HC) — the largest regional health alliance spanning 16 countries, including Kenya, Tanzania, Uganda, Rwanda, Zambia, and others.

Together with ECSA-HC’s Director General, Dr. Nutili Koplologuew, and our CEO Alexandre Cobre, we are building a groundbreaking regional database of images focused on neglected tropical diseases (including X-rays, MRI scans, optical microscopy).

This database will train advanced AI (deep learning) models designed for practical use in clinical settings across all member countries.

These AI tools will redefine diagnostic medicine across Africa, revolutionizing how healthcare is delivered and improving patient outcomes continent-wide.

This collaboration marks a new era for health innovation and AI-driven solutions in East and Southern Africa.

➕ Follow Us

About Us

Learn more about MozBioMed.AI and our mission to transform health in Africa

Who We Are

MozBioMed.AI is a British startup with Mozambican roots, based in Manchester, dedicated to biomedical research and the development of innovative solutions in diagnostics and drug discovery/repurposing for neglected tropical diseases. With a strong focus on artificial intelligence (AI), MozBioMed.AI aims to transform public health in Mozambique by promoting cutting-edge science with real social impact.

Our History

Founded in 2023 by a team of passionate Mozambican scientists, healthcare professionals, and technology experts, MozBioMed.AI was born from the urgent need to harness the power of digital innovation to meet the unique healthcare challenges faced by Mozambican communities.

Mission

To popularize the use of artificial intelligence in Mozambique to combat neglected tropical diseases such as HIV/AIDS, tuberculosis, and malaria, with special attention to rural communities where access to diagnosis and treatment is still limited.

Vision

To build an African ecosystem of excellence in AI applied to healthcare, empowering local scientists and creating innovative solutions with the potential for national and global impact.

Values

  • Innovation: Applying cutting-edge technologies, such as Artificial Intelligence, to creatively and effectively solve health challenges.
  • Accessibility: Making healthcare and technology accessible to underserved communities, especially in rural areas of Mozambique
  • Collaboration: Working in partnership with universities, healthcare institutions, and other stakeholders to maximize the impact of our solutions.
  • Education: Promoting the training and development of Mozambican professionals in the use of AI in healthcare, nurturing a new generation of scientists.
  • Social Responsibility: Commitment to local development, improvement of public health, and the creation of solutions for local challenges.

Our Team



MozBioMed.AI has a highly qualified, multidisciplinary team led by Alexandre de Fátima Cobre, bringing together experts and healthcare professionals from Mozambique, the United Kingdom, Kenya, and Brazil.
Alexandre Cobre

Alexandre Cobre (PhD)

Founder and CEO

Mozambican specializing in AI and Pharmacy. Scientist at The University of Manchester.

Principal Researchers and Scientists
Alexandre Cobre

Alexandre Cobre

CEO and Principal Researcher

(United Kingdom)

Hélder Pedro Matilene

Hélder Pedro Matilene

Data Scientist

(Mozambique)

Timothy Achala

Timothy Achala

Data Scientist

(Kenya)

Academic Partners and International Scientists

Waldemar Volasnki

Waldemar Volasnki (PhD)

Ministry of Health of Brazil

(Brazil)

Jefferson Souza

Jefferson Souza (PhD)

Federal University of Paraná

(Brazil)

Mónica Surek

Mónica Surek (PhD)

Federal University of Paraná

(Brazil)

Alexesander Couto Alves

Alexesander Couto Alves (PhD)

University of Southampton

(United Kingdom)

Arun Kular Roy

Arun Kular Roy (PhD)

University of Surrey

(United Kingdom)

Benedicto Byamukama

Benedicto Byamukama (PhD)

Makerere University

(Uganda)

Collaboration with National Healthcare Professionals and Academics


Dr. Bélio Castro – Ministry of Health of Mozambique

Dr. Joel Choveque – Ministry of Health of Mozambique

Dr. Nildo Joaquim – Ministry of Health of Mozambique

Social Impact

MozBioMed.AI aims not only to develop innovative scientific solutions but also to create profound social impact. Our focus is on rural and low-resource communities in Mozambique, where neglected tropical diseases have devastating effects. We believe that education is the key to building a better future, which is why we are training the next generation of Mozambican scientists. In addition, our AI solutions will directly contribute to improving access to faster and more accurate treatments and diagnostics.

Areas of Focus

Our Specialties and Technical Expertise

Drug Repurposing

We work on repurposing approved drugs, using AI to identify new therapies for diseases affecting the African population, such as HIV, tuberculosis, and malaria.

Research and Development in AI for Disease Diagnosis

We use AI to develop predictive models and diagnostic tools aimed at improving the recognition and treatment of neglected tropical diseases in Mozambique and other parts of Africa.

Training and Capacity Building

We offer courses and training programs, including master's programs in Artificial Intelligence applied to Public Health, to empower healthcare, technology, and science professionals in Mozambique to use AI for improving the healthcare system and tackling local challenges.

Social Innovation

We connect scientific research with solutions that directly impact communities, especially those most in need of accessible diagnostic and treatment options.

Our Projects


AI-Based Diagnostics

LeproScan.AI

Objective: Development of an artificial intelligence application capable of detecting leprosy lesions in skin images, operating 100% offline — ideal for rural settings without internet access.

MalariaDetector.Moz

Objective: Creation of an AI-based tool for rapid malaria screening, designed for offline operation and optimized for populations with limited access to healthcare services.

TBInfra.AI

Objective: Development of a portable device that uses infrared spectroscopy combined with artificial intelligence algorithms to enable rapid tuberculosis diagnosis directly at the point of care.

DengueMalaria.AI

Objective: A project that leverages simple clinical and laboratory data, such as blood counts and rapid tests, combined with artificial intelligence, to provide fast and accurate diagnoses of dengue and malaria.



Drug Repurposing with Artificial Intelligence

TB-Rescue.AI

Objective: Use of artificial intelligence integrated with experimental and clinical trials to identify new uses for drugs in the treatment of tuberculosis,

LeishFinder.AI

Objective: Predictive modeling with AI to accelerate drug repurposing against leishmaniasis, based on African data.

SchistoCure.AI

Objective: A project combining AI and experimental validation to find more effective treatments for schistosomiasis.

HIV-RePurpose.AI

Objective: Artificial intelligence models and scientific validation to identify new therapeutic uses for existing drugs in the fight against HIV.

FilariAssist.AI

Objective: A project applying AI and clinical data to accelerate the development of therapeutic solutions for lymphatic filariasis.

ParasiteTarget.AI

Objective: A project focused on using artificial intelligence and multi-target drug design to develop innovative treatments against neglected tropical parasitic diseases (NTDs) such as malaria, schistosomiasis, filariasis, leishmaniasis, and cysticercosis.

Multi-target Drug Design.AI

Objective: A project that uses AI to identify and optimize therapies targeting multiple biological pathways simultaneously, aiming for more effective treatments for viral diseases.

Publications and Resources

Our scientific production and available tools

Scientific Articles

A Game-changing AI tool to detect and track Leprosy through fingerprint infrared scans – Affordable and revolutionary disease diagnosis
Chemometrics and Intelligent Laboratory Systems, 2024

This innovative AI tool uses low-cost infrared spectroscopy to diagnose leprosy and monitor treatment outcomes with up to 100% accuracy. With its ability to distinguish between healthy individuals and patients at different stages of treatment, this breakthrough technology promises to improve healthcare in low-resource settings worldwide.

PDF DOI

Affordable AI tool for early screening of diabetes and lipid disorders using low-cost infrared spectroscopy – Achieving over 95% accuracy
Chemometrics and Intelligent Laboratory Systems, 2024

This innovative AI tool, powered by Fourier-transform mid-infrared spectroscopy (FTIR-MIR), accurately screens diabetes and dyslipidemia with over 90% accuracy. By analyzing serum samples, it offers a rapid, non-invasive, and affordable diagnostic method for these critical cardiovascular risk factors.

PDF DOI

AI approach identifies 124 New Anti-HIV drug candidates from a 37 Billion-Compound Database – Accelerating and Cost-Effective Drug Discovery
Chemometrics and Intelligent Laboratory Systems, 2024

In 2023, 38.8 million people were living with HIV. This groundbreaking study used QSAR-based machine learning, molecular docking, and dynamics simulations to uncover 124 new anti-HIV drug candidates from a screening of 37 billion compounds. Leveraging CHEMBL and ZINC-22 databases, advanced models predicted bioactivity and validated results, opening exciting new possibilities for HIV treatment.

PDF DOI

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Revolutionary, affordable AI tool detects and predicts COVID-19 severity using simple blood tests – Recognized by the WHO
Computers in Biology and Medicine, 2021

This pioneering study, recognized by the WHO, is one of the first to identify ferritin as a crucial prognostic and therapeutic biomarker for COVID-19. Using AI, it predicts COVID-19 diagnosis and severity with over 90% accuracy, offering new insights for early intervention.

PDF DOI

MalariaCerv AI: AI-powered cervical cancer screening using malaria test slides
...

In development: an AI-driven cervical cancer screening system that integrates with malaria test slides. As lab technicians examine malaria slides, a smartphone camera captures images, and AI detects cervical cancer signatures. This technology enables large-scale screening, empowering general practitioners, especially in rural areas, to diagnose and treat cervical cancer, addressing the shortage of oncologists in countries like Mozambique.

PDF DOI

CerviAI: AI-Powered Cervical Cancer Diagnosis via Liquid Biopsy
...

In development: an AI tool for early cervical cancer diagnosis using liquid biopsy. By analyzing photographs of female urine samples with specific staining, it detects early cancer signs with high accuracy. This technology aims to revolutionize cervical cancer screening in Mozambique and Africa, making it more accessible and affordable, especially in underserved regions where oncologists are scarce.

PDF DOI

Tools and Documents

Tutorials and Documentation (Forthcoming)

Practical guides for using AI in biomedical research, with a focus on African contexts.

Documentation Videos

2025 Call for Applications: Advanced Artificial Intelligence Internships with Employment Opportunities for Mozambican Youth in Health, Computer Engineering, Computer Science, Journalism, Communication, Human Resources, Business Administration and Management.

Application period: June 30 to July 15, 2025

MozBioMed.AI is selecting young Mozambican talents for a transformative internship in science, technology, and innovation. Priority will be given to students from public universities, especially in Northern and Central Mozambique, as well as women in science and members of the LGBTQIA+ community. Over six months, interns will receive hands-on training in artificial intelligence for healthcare, data science, and technology management — with access to real-world data, international mentorship, and participation in high-impact global projects. Outstanding interns will have real opportunities to be hired for full-time positions at MozBioMed.AI upon successful completion of the program. Join us and help shape the future of healthcare in Mozambique.

For more information, download the full call for applications in the following PDF document.

PDF

Partnerships and Collaborations

We work together with leading institutions

Universities and Institutes

  • Licungo University

Organisations and Initiatives

  • Ministry of Health of Mozambique

Contact Us

We are open to collaborations, partnerships, and new ideas

Other Contact Options

Email: alexandrecobre@gmail.com
Phone: +44 7936 386026
Address: 17 Longford Place, Manchester, England, M14 5QQ