Health
How a South African Hospital Team Pioneered the World’s First AI-Powered Cancer Treatment Revolution
Digital Healing: How Bloemfontein Became Ground Zero for the AI Cancer Treatment Revolution
The University of the Free State (UFS), South Africa, and Universitas Academic Hospital have achieved a global healthcare milestone by becoming the first clinical site worldwide to successfully integrate artificial intelligence into cancer treatment planning, marking a transformative advancement in oncology care, according to a statement issued by UFS.
AI implementation
The Departments of Medical Physics and Oncology at UFS, in partnership with Universitas Academic Hospital, have implemented the Radiation Planning Assistant (RPA), a sophisticated web-based AI platform developed by MD Anderson Cancer Center in Houston, Texas. This pioneering initiative has already treated nearly 50 patients, positioning the Bloemfontein-based teams as global leaders in the clinical application of AI in radiotherapy.
Under the leadership of Dr. William Shaw, Senior Lecturer and Deputy Manager in the Department of Medical Physics, the institution has built a robust academic partnership with Professor Laurence Court and his team at MD Anderson Cancer Center—a collaboration that is now yielding remarkable real-world results.
“The introduction and clinical integration of the RPA at the UFS and Universitas Hospital represents a major advancement for oncology services—both regionally and nationally,” Dr. Shaw explained. “It signifies the transition from research collaboration to real-world application, where artificial intelligence is being used to improve access to safe, high-quality cancer care.”
Revolutionizing treatment planning
The RPA technology addresses one of the most time-consuming aspects of cancer care: creating patient-specific radiation treatment plans. The cloud-based platform automates critical components of the treatment planning process, enabling consistent production of high-quality radiotherapy plans while reducing demands on specialized clinical staff.
Dr. Shaw described the streamlined process: “The process begins with the acquisition of a planning CT scan, which serves as the sole imaging input to the RPA. Once the CT dataset has been captured, it is uploaded to the RPA platform via a secure web interface.”
The system uses advanced machine learning algorithms to automatically identify and delineate both tumour volumes and critical normal tissues. Following the completion of the contouring process, the platform automatically generates a comprehensive radiotherapy treatment plan.
Expanding treatment applications
Initially implemented for cervix cancer treatment—representing the largest proportion of radiotherapy patients at the institution—the RPA has since expanded to encompass breast cancer, head and neck cancers, and primary brain tumors. With ongoing institutional support, the system shows significant promise for broader application across nearly all major tumor types treated with external beam radiotherapy.
Professor Vasu Reddy, Deputy Vice-Chancellor for Research and Internationalisation at UFS, praised the achievement: “We extend our congratulations to our colleagues for their exemplary collaborative achievements. Your pioneering work represents the transformative power of multidisciplinary research in advancing medical science and improving patient outcomes.”
Immediate patient benefits
The technology delivers immediate, meaningful improvements for cancer patients by enabling faster access to well-constructed, evidence-based treatment plans reviewed and refined by experts. This translates to more timely care, fewer unplanned treatment interruptions, and improved protection of normal tissues, resulting in fewer side effects and better overall outcomes.
“Our aim is to use artificial intelligence not as a shortcut, but as a tool to standardize, scale, and improve cancer care in places where the need is greatest,” Dr. Shaw emphasized. “The RPA enhances the quality, consistency, and timeliness of cancer treatment in radiotherapy settings—particularly in environments where clinical capacity is limited.”
International expansion
The success in Bloemfontein serves as a model for broader health system innovation, providing a foundation for the safe, phased rollout of similar systems in other provinces. Professor Court has already extended access to the RPA to other radiotherapy centers in South Africa, with expansion to additional countries planned for the near future.
The Department of Oncology, led by Professor Alicia Sherriff, has joined the initiative as an active clinical partner, establishing a multi-disciplinary collaboration that lays the foundation for further research and innovation at the intersection of medical physics, oncology, and data science.
Advanced treatment techniques
Beyond external beam radiotherapy, the UFS and Universitas teams are advancing the use of interstitial brachytherapy for cervix cancer. While not the first globally to implement this specialized technique, the Bloemfontein team ranks among the earliest adopters on the African continent, helping expand access to this advanced modality where it’s most needed.
Future vision
This work received support from the Nuclear Technologies in Medicine and the Biosciences Initiative (NTeMBI), a national technology platform developed and managed by the South African Nuclear Energy Corporation (Necsa) and funded by the Technology Innovation Agency (TIA).
Dr. Shaw’s team has played a central role in developing safe, reliable clinical processes to integrate AI tools like the RPA into daily practice, ensuring that automation enhances rather than replaces professional expertise.
Professor Reddy outlined the broader vision, “The future we are heading towards is one where human innovation and digital technologies work together to elevate the standard of care, rather than replace humanity in medicine. It is encouraging to see how our colleagues are internationalizing our footprint, together with machine precision to enhance detection, personalize treatment and, perhaps importantly, empowering clinicians with data-driven insights for patient care.”
This innovation represents a significant step forward for cancer care in South Africa and demonstrates how international partnerships can bring cutting-edge technologies to healthcare frontlines, making them work effectively in real clinics for real patients. As cancer incidence rises across low- and middle-income countries, the leadership shown by the UFS and Universitas teams offers a compelling model for how academic medical centers can respond with agility, scientific rigor, and global solidarity.
Edited by Chris Jose
Health
When Health Care Becomes a Target, Patients Pay the Price
WHO has recorded 914 attacks on health care in 2026, killing 911 people and injuring 1,486 across 19 countries and territories. Since 2017, more than 10,400 attacks have been documented, highlighting the growing risks to health workers, patients and essential medical services during conflict.
Health workers are expected to move towards people in danger. In many conflict zones, that same act of providing care is putting them in danger. The World Health Organization (WHO) recorded 914 attacks on health care in 2026 so far, resulting in 911 deaths and 1,486 injuries across 19 countries and territories. Most of the reported attacks have occurred in Ukraine, Lebanon, the occupied Palestinian territory and Myanmar.
The figures were released around World Humanitarian Day on August 19, when WHO renewed its call for health workers, patients, medical facilities and ambulances to be protected during conflicts. Since WHO began systematically documenting attacks on health care in December 2017, it has recorded more than 10,400 attacks across 29 countries and territories, resulting in more than 5,700 deaths and 8,500 injuries.
The numbers represent more than attacks on individual doctors or hospitals. When a health centre is bombed, an ambulance is stopped or a health worker is threatened, people who may never have been involved in the conflict can lose access to essential treatment.
What Counts as an Attack on Health Care?
WHO’s surveillance system covers violence, threats, obstruction and other acts that interfere with the availability, access or delivery of health services during emergencies. The attacks can affect health workers, patients, facilities and medical transport. That means the damage is not limited to deaths and injuries.
A damaged hospital may lose operating rooms, beds, medicines or electricity. An ambulance that cannot safely reach a patient can turn a treatable emergency into a fatal one. Health workers may leave areas where they no longer feel safe, leaving communities with fewer doctors and nurses.

A systematic review of research on attacks on health care in conflict found that these attacks can include bombing, looting, burning, occupation and obstruction of facilities, as well as threats, detention and physical attacks against health workers and patients. The researchers also noted significant gaps in documentation, making the available numbers likely to represent only part of the problem. WHO’s earlier analysis of attacks in fragile and conflict-affected settings similarly found that attacks reduce health-care capacity and interrupt services, affecting vulnerable populations long after the immediate incident.
The Effects Continue After the Attack
The loss of a health worker has consequences beyond the individual. A systematic mapping of 474 studies on health workers in conflict and post-conflict settings found evidence of threats, detention and killings, as well as health-worker displacement. In some conflicts, large numbers of medical professionals have left affected areas, contributing to shortages that persist after the fighting subsides.
This creates a cycle: conflict increases the need for medical care while simultaneously making it harder to provide that care. The consequences can extend to routine services such as maternal care, childhood immunisation and treatment for chronic diseases. A health system weakened by attacks may also be less prepared for disease outbreaks and other emergencies.
India has Its Own Warning Signs
India is not among the countries driving WHO’s current global conflict tally, but the protection of health care is not an abstract issue here. In Manipur, where intercommunal violence began in May 2023, the Safeguarding Health in Conflict Coalition documented eight incidents of violence against or obstruction of health care in 2024. Health facilities were attacked on five occasions. The incidents included a grenade delivered to a hospital and a bomb thrown at a medical university campus. Routine immunisation, maternal health services and treatment for chronic diseases were disrupted.
The Manipur case shows why attacks on health care matter even when the number of incidents is relatively small compared with the world’s largest conflicts. A single attack can affect an entire catchment area when alternative facilities are limited.
Research from Assam provides another perspective. A study of ASHA workers in conflict-affected districts found that they faced difficulties arranging transport and accessing remote health facilities during and after episodes of violence. Their physical safety was also at risk, while displacement and the breakdown of social relationships created additional pressures on their work.
These community health workers are particularly important because they connect people in remote communities with the formal health system. When conflict prevents them from travelling safely, the disruption reaches households far beyond the site of the violence.
Violence in Indian Hospitals is a Different, But Related, Problem
There is an important distinction between attacks on health care in armed conflict and violence against health workers in ordinary health-care settings. They should not be treated as the same phenomenon. India, however, has a significant problem with workplace violence against medical professionals.
A 2026 study published in the National Medical Journal of India, based on 439 doctors’ responses, found that 80.2% had faced or witnessed workplace violence. Verbal abuse was the most common form, followed by physical and sexual violence. Respondents reported effects on their mental health that could last from weeks to a year. Another study involving emergency-department health-care providers in two Indian settings found that 68% reported verbal abuse and 26% physical abuse among the events examined. Patient relatives and other bystanders were reported as the most common perpetrators.
India responded during the COVID-19 pandemic by amending the Epidemic Diseases Act in 2020. The amendment made violence against health-care personnel during an epidemic a cognizable and non-bailable offence, with penalties that can include imprisonment and fines.
But the persistence of violence suggests that legal protection alone does not guarantee safety.
Protection is Part of Health Care
International humanitarian law already provides protections for medical personnel, facilities and transport during armed conflict. UN Security Council Resolution 2286, adopted in 2016, specifically condemned attacks against medical facilities and personnel and called for stronger compliance with international humanitarian law.
A decade later, the problem remains. The Safeguarding Health in Conflict Coalition’s latest assessment argues that the consequences extend to millions of people who lose access to health care when facilities and workers are attacked. It has called for stronger accountability mechanisms and greater political action to enforce existing protections.
The central issue, therefore, is not simply how many doctors, nurses or patients are killed. It is what happens to everyone who needs care after the health system around them has been damaged. When a hospital becomes a conflict zone, it is a maternity ward that cannot admit a woman, a clinic unable to vaccinate a child, an ambulance that cannot reach an injured person, or a doctor who decides it is no longer safe to stay. Protecting health care is ultimately about protecting the ability of people to receive care when they need it most.
Health
Kerala Doctors Find Glass Fragments Lodged in Woman’s Spine, 12 Years After Accident
Doctors in Kochi removed three glass fragments lodged near a woman’s spine for 12 years after 3D CT imaging finally revealed the cause of her chronic back pain.
Kochi, Kerala: A 44-year-old woman from Karunagappally in Kollam has undergone surgery to remove three glass fragments that had remained lodged near her spine for 12 years, after imaging finally identified the source of pain that doctors had previously been unable to explain.
Manu S B had lived with chronic back pain since 2014, when she fell onto a glass-topped table while eight months pregnant and attending a family wedding. Glass shattered on impact and pierced her back. She was treated at a hospital at the time, but not all the fragments could be located, and some remained embedded in the tissue near her spine.
Over the following twelve years, Manu consulted multiple hospitals without a diagnosis. Her husband, Rajeeve, said the unexplained pain affected her sleep, her ability to raise her arms, and eventually her work as a Taluk Supply Officer in Karunagappally. Family members said the prolonged, undiagnosed pain also took a psychological toll, with some around her suggesting the problem was not physical.
A recent consultation led doctors to suspect a tumour-like lesion and recommend an MRI. Rajeeve then approached Dr Krishnakumar R, Director of the Institute of Spine and Scoliosis Surgery at VPS Lakeshore Hospital, under whom he had previously undergone surgery. A subsequent 3D CT scan identified the retained glass fragments, including one triangular piece measuring roughly 3 cm.
Surgeons removed the three fragments from the mid-back region of Manu’s spine last week, in a procedure led by Dr Krishnakumar with support from the hospital’s radiology and anaesthesiology teams. She is currently recovering at VPS Lakeshore Hospital.
“Pain that continues for years after an injury needs careful evaluation,” Dr Krishnakumar said. “In this case, imaging helped us identify the retained glass fragments and understand the reason for her longstanding symptoms.”
Rajeeve said much of the earlier medical attention over the years had focused on Manu’s neck rather than the back, which he believes contributed to the delay in diagnosis.
Health
AI Finds the Hidden Cells That May Help Cancer Return
Indian researchers have developed an AI framework, ACSCeND, that identifies hidden cancer stem-like cell states from tumour gene-expression data. Analysis of more than 25,000 tumour samples linked highly potent cells with poorer survival, cancer recurrence and reduced response to immunotherapy.
India recorded an estimated 15.6 lakh new cancer cases and 8.74 lakh cancer deaths in 2024, according to estimates based on data from 43 cancer registries. Cancer is now the second leading cause of death globally after cardiovascular diseases, with the World Health Organization estimating 20.6 million new cases and nearly 10 million deaths worldwide in 2024. Against this growing burden, cancer stem cells are emerging as a critical target in understanding why tumours return and resist treatment.
The growing cancer burden has made early detection, effective treatment and preventing recurrence critical challenges. While advances in surgery, chemotherapy, radiation, targeted therapies and immunotherapy have improved treatment options, cancer can still return after an apparently successful treatment. One reason may lie in a small population of cancer stem cells that can remain hidden inside a tumour.
These are known as cancer stem cells. Although they make up only a small fraction of a tumour, researchers believe they can play an important role in tumour recurrence, metastasis and treatment resistance. Their rarity and ability to change their identity have also made them difficult to detect. This is where a new Indian research effort could offer a different way of looking at cancer.
Researchers from the S. N. Bose National Centre for Basic Sciences, an autonomous institute under the Department of Science and Technology, in collaboration with Ashoka University, have developed an artificial intelligence framework that can identify hidden cancer stem-like cell populations from tumour gene-expression data.
Called ACSCeND, or AI-based Cancer Stem Cells Profiler and Neoplasm Deconvoluter, the framework could help researchers examine cancer biology at a level that conventional tumour analysis may miss.
Cancer Stem Cells: Understanding Single Stemness Score
Cancer is not a uniform mass of identical cells. Different cells within the same tumour can behave differently, with some populations potentially more capable of surviving treatment and driving tumour growth.
Conventional computational approaches often assign a tumour a single “stemness” score. ACSCeND instead identifies three distinct developmental states of cancer stem-like cells: pluripotent-like, multipotent-like and unipotent-like.
The distinction could give researchers a more detailed picture of the biological composition of a tumour.

The framework combines information learned from high-resolution single-cell sequencing with deep learning to analyse conventional bulk tumour RNA sequencing. This is significant because single-cell experiments are not available for every tumour sample, while large collections of conventional RNA sequencing data already exist.
In effect, the researchers are using AI to extract information about hidden cell populations from data that may otherwise appear less detailed.
Tested Across More Than 25,000 Tumours
The researchers validated ACSCeND against existing computational methods and tested it across independent datasets and sequencing platforms. They then applied the framework to more than 25,000 tumour samples from major international cancer databases, including TCGA and PRECOG.
The analysis revealed a significant association between the presence of highly potent, pluripotent-like cancer stem cells and poorer outcomes. Tumours enriched with these cancer stem cells were associated with poorer patient survival, a greater likelihood of recurrence and reduced response to modern immunotherapies.
The framework also identified molecular programmes that may help these cells survive, adapt and evade the immune system. Such findings could provide researchers with potential targets for future drug development and help identify patients who may be more likely to relapse.
Why This Could Matter for Precision Medicine
The significance of the research lies not in AI replacing cancer doctors or predicting an individual patient’s future, but in its ability to reveal biological patterns that are difficult to detect using conventional analysis.
If researchers can better identify the cell populations that are associated with recurrence and treatment resistance, they may gain a clearer understanding of why some tumours return after apparently successful treatment. That knowledge could eventually contribute to therapies designed to target not only the bulk of a tumour but also the populations of cells that help it survive.
The approach could also be valuable because it works with conventional bulk RNA sequencing data. Instead of requiring every tumour sample to undergo expensive and highly detailed single-cell analysis, researchers may be able to investigate hidden cancer stem-like populations across much larger collections of existing samples.
For India, where an estimated 15.6 lakh people were diagnosed with cancer in 2024, such computational approaches could strengthen cancer research and the country’s move towards more data-driven precision medicine.
But the findings need to be viewed in context. ACSCeND is currently a research framework, not a clinical diagnostic tool that can determine whether an individual patient’s cancer will return. The study establishes associations between cancer stem cells states and outcomes; translating those findings into clinical decisions will require further research and validation.
The potential turning point, therefore, is not that AI has solved cancer recurrence. It is that researchers now have another way to look for the cancer stem cells that may be helping tumours survive treatment.
In the long battle against cancer, understanding what remains after treatment may be just as important as understanding what the treatment destroys.
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