Samanta Manoni studies the Strongyloides stercoralis infection, a parasitic disease that can cause severe illness, particularly in individuals with weakened immune systems, such as the elderly and those with certain medical conditions. Her research includes epidemiological studies, which assess how widespread the infection is within various communities. By investigating the presence of this parasite in specific locations, such as the San Marino Republic, she aims to highlight the need for screening and prevention strategies in vulnerable groups, including older adults and immigrants.
Key findings
In a study involving 42 patients in San Marino, 2 individuals (4.8%) were found to be infected with the Strongyloides stercoralis parasite, indicating a notable presence of this infection.
An additional case of infection was identified during a gastric biopsy, showcasing that hidden cases can exist even in screening efforts.
The research emphasizes the importance of targeted screening for Strongyloides stercoralis in populations at higher risk, particularly among older adults and immigrants.
Frequently asked questions
Does Dr. Manoni study Strongyloides stercoralis?
Yes, Dr. Manoni specializes in researching the Strongyloides stercoralis infection and its impact on health.
What treatments has Dr. Manoni researched for this infection?
While her publications focus on the epidemiology of the infection, understanding the prevalence is crucial for guiding treatment options.
Is Dr. Manoni's work relevant to elderly patients?
Yes, her research highlights the risk of Strongyloides stercoralis infections in older adults, making it very relevant to this patient group.
Publications in plain English
Exploring spiking neural networks for deep reinforcement learning in robotic tasks.
2024
Scientific reports
Zanatta L, Barchi F, Manoni S, Tolu S, Bartolini A +1 more
Plain English This study looked at how a new type of artificial neural network, called Spiking Neural Networks (SNNs), performs in training robots to accomplish tasks using a method known as deep reinforcement learning. Researchers found that SNNs can train robots more efficiently than traditional neural networks, requiring fewer layers for optimal performance; in fact, they achieved a performance boost of 4.4 times better in a specific benchmark task compared to the best existing SNNs. This matters because it shows a promising way to improve robot training, making it faster and more effective, which can lead to better robotic performance in real-world scenarios.
Who this helps: This helps engineers and researchers working on advanced robotics.
The impact of COVID-19 vaccination programme in the Republic of San Marino: Focus on effectiveness of Gam-Covid-Vac.
2022
Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases
Tonnara G, Piselli P, Cimaglia C, Arlotti M, Sacchini E +9 more
Plain English This study looked at how effective the Gam-COVID-Vac (Sputnik V) vaccine was in the Republic of San Marino, where most vaccinations were with this vaccine. They found that out of the people who hadn't had COVID-19 before, those vaccinated had a 67.6% lower chance of getting infected and an 87.9% lower chance of being hospitalized due to COVID-19. Protection against serious illness remained strong over time, with no significant decline noted for hospitalizations.
Who this helps: This helps patients and the healthcare system by showing the vaccine's effectiveness in preventing severe COVID-19 outcomes.
Strongyloides stercoralis infection in San Marino Republic: first epidemiological data from an observational study.
2019
Epidemiology and infection
Cappella ED, Piscaglia AC, Cadioli A, Manoni S, Silva R +1 more
Plain English This study looked at the presence of the Strongyloides stercoralis parasite in San Marino, which can lead to severe illness or death, especially in people with weakened immune systems. Researchers found that out of 42 patients tested, 2 (or 4.8%) had the infection, and an additional case was discovered during a gastric biopsy. This information is important because it highlights the need for screening in vulnerable populations, particularly older adults and immigrants.
Who this helps: This helps patients, especially those with weakened immune systems and elderly individuals.
Renal cell carcinoma associated with prominent angioleiomyoma-like proliferation: Report of 5 cases and review of the literature.
2006
The American journal of surgical pathology
Kuhn E, De Anda J, Manoni S, Netto G, Rosai J
Plain English This study looked at five cases of clear cell renal cell carcinoma and noted a unique growth pattern resembling angioleiomyoma, especially at the edge of the tumors. This growth was noticeable in how it formed a sort of capsule around the tumors. Researchers believe this pattern shows how kidney cancer can encourage blood vessel growth, likely due to substances produced by the tumor.
Who this helps: This information benefits doctors and researchers studying kidney cancer and its treatment.