Recently published results from a Phase 2b trial testing a new regimen for people with chronic Trypanosoma cruzi infection could offer a safer, more practical treatment option for the infection, which affects more than seven million people globally, mainly in Latin America, and can develop into Chagas disease. Compared to the current standard regimen that involves twice-a-day treatment for 60 days and is frequently accompanied by uncomfortable side effects, leading to treatment failure, the new regimen involves a 30-day course taken once daily. Trial participants treated with the shorter regimen had significantly reduced side effects, found it easier to follow, and saw lower treatment interruption. If it continues to demonstrate success in large Phase 3 trials, the regimen could transform treatment for patients globally, as T. cruzi infection becomes a growing challenge in the United States, Europe, and Japan.
The first participants have been vaccinated in a trial in the Democratic Republic of the Congo (DRC), where the country’s ongoing outbreak of the Bundibugyo strain of Ebola has now become the largest Ebola outbreak in the country’s history and the second largest in history. Health workers in Bunia, a DRC city at the center of the outbreak, were the first to be vaccinated in the real-world efficacy trial evaluating whether the Ervebo vaccine, which is designed to target the more common Zaire strain, offers some cross-protection against Bundibugyo. There are no approved vaccines for Bundibugyo Ebola, and there were no candidates in late-stage development before the start of the outbreak of the rarer strain of the virus, which has only caused three outbreaks since it was first discovered around 20 years ago. Since the outbreak began, global partners have fast-tracked the development of earlier-stage candidates, but researchers hope the Ervebo vaccine could provide some protection before those candidates are ready for evaluation in DRC.
As artificial intelligence (AI) continues to rapidly transform many aspects of technology and science, including health research, a new report from the World Health Organization (WHO) speaks to how stakeholders can help ensure AI-enabled health research is conducted responsibly and benefits everyone. According to the report, while AI has the potential to accelerate health innovation and improve health outcomes, it also presents risks related to equity, privacy, safety, transparency, and more. WHO suggests that researchers, ethics committees, regulators, funders, and policymakers can act to strengthen ethical oversight of AI throughout the health research continuum. WHO also notes that most AI development remains concentrated in high-income settings and contends that strengthening leadership, capacity, and participation in AI in low- and middle-income countries will be important to ensuring the technology does not exacerbate existing inequities in health and health research.