UNCERTAINTY-AWARE BAYESIAN MRI RECONSTRUCTION USING DEEP LEARNING PRIORS FOR CERVICAL CANCER STAGING

Cervical cancer remains one of the deadliest cancers among women worldwide, and MRI is the main tool doctors use to judge how far the disease has spread, particularly whether the tumour has

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ASSESSMENT OF THE EPIDEMIOLOGICAL CHARACTERISTICS AND TRANSMISSION DYNAMICS OF HPV AND CERVICAL CANCER WITH A GENDER LENS IN CAMEROON

Human papillomavirus (HPV) infection is the most common sexually transmitted infection worldwide and the leading cause of cervical cancer, the second most frequent cancer among women in Cameroon. The transmission dynamics of

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HPV and Cervical Cancer in Cameroon: A Mathematical Approach to Optimising the Mother-Child Program

Cervical cancer is the fourth most common cancer among women worldwide. It is primarily caused by the human papillomavirus (HPV), which is transmitted mainly through sexual contact but also through environmental exposure.

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MODELLING AND IMPLEMENTATION OF AN ARTIFICIAL INTELLIGENCE SOLUTION FOR THE OPTIMISATION OF HIV SCREENING RESOURCES IN CAMEROON.

HIV remains a major public health issue in Cameroon. The recent shortage of testing kits, linked to the reduction in international funding, limits access to tests and compromises the early identification of

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Modeling the Fight Against HPV: From Constant Effort to Periodic Vaccination and Screening Campaigns

Every year, human papillomavirus (HPV) causes hundreds of thousands of deaths worldwide, mostly from cervical cancer. This is an especially serious problem in low-resource countries, where vaccinating young girls and screening adult

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The CAFHOMEC Project Now Has a Headquarters

The CAFHOMEC Consortium is pleased to announce that the headquarters of the Grand Challenges Strengthening Modelling – Cameroon (CAFHOMEC) project is now operational, marking an important milestone in the implementation of the

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Call for Applications – Master 1 & Master 2 in Data Science and Mathematical Engineering (2026–2027)

The CAFHOMEC Consortium is pleased to share the call for applications for the Master 1 (M1) and Master 2 (M2) programmes in Data Science and Mathematical Engineering for the 2026-2027 academic year.

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Training the Next Generation of Mathematical Modellers

As part of its mission to promote training and research capacity building, CAFHOMEC organized several support courses in mathematical modelling for life sciences. The courses were taught by Professor Samuel Bowong from

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Scientific Publication from CAFHOMEC: Modeling the impact of budget limitation on the screening and treatment pathway of HPV-induced precancerous cervical lesions

This study presents a mathematical model showing how financial barriers affect access to cervical cancer screening and treatment, and how targeted subsidies can improve outcomes. It highlights that even small government support

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Scientific Publication from CAFHOMEC: Within host dynamics of HPV infection with cellular immunity and HPV-infected dormant cells reactivation.

This study uses mathematical modeling to explore how HPV behaves inside the body, with a focus on the immune response and the hidden reactivation of the virus. It reveals that HPV can

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