Sonja Jahnke | Medicine and Health Sciences | Young Scientist Award

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Ms. Sonja Jahnke | Medicine and Health Sciences | Young Scientist Award

Group Practice Drs. Jahnke | Germany

Ms. Sonja Jahnke is a promising young physician-scientist whose academic trajectory reflects an exceptional blend of clinical excellence, research productivity, and international engagement in orthopaedics and sports medicine. She completed her medical education at Brandenburg Medical School (MHB), complemented by clinical rotations at Ludwig Maximilian University, University Hospital Brandenburg, and St. Vinzenz Hospital, where she gained comprehensive training in internal medicine, trauma care, orthopaedics, and sports orthopaedics. Since July 2025, she has been serving as a resident physician in training, advancing her clinical expertise while building upon her earlier role as a surgical assistant at Sporthopaedicum Berlin. Her research focuses on anterior cruciate ligament (ACL) reconstruction, rehabilitation strategies, and the influence of bracing and muscular strength on functional recovery, bridging biomechanics with patient-centered outcomes. Ms. Sonja Jahnke has authored three peer-reviewed publications indexed in Scopus, with 34 citations across 34 documents and an h-index of 2, reflecting her growing scholarly impact. Her contributions have appeared in leading journals such as the Journal of Clinical Medicine (2025), Sports Orthopaedics and Traumatology (2023), Efort Open Reviews (2023), and Healthcare Basel (2023), advancing knowledge on ACL rehabilitation, orthopaedic outcomes, and innovative treatment approaches. In addition, she has delivered invited presentations at prestigious international meetings, including ESSKA 2024 in Milan and the Berlin Arthroscopy Course, underscoring her recognition as a dynamic and insightful communicator. Her achievements have been further acknowledged with the Young Investigator Award from Brandenburg Medical School in 2022, highlighting her strong potential as an emerging leader in sports medicine research and clinical practice.

Profile: Scopus

Featured Publications

  1. Jahnke, S., Prill, R., Królikowska, A., & Becker, R. (2025, September). Test learning effects influence coordinative but not strength-related tasks in patients six months after anterior cruciate ligament reconstruction.

  2. Prill, R., Cruysen, C., Jahnke, S., & Becker, R. (2023, June). Der Einfluss von Bandagen und Orthesen auf die Performance in der Back in Action Testbatterie. Conference Paper.

  3. Diquattro, E., Jahnke, S., Traina, F., & Kopf, S. (2023, May). ACL surgery: Reasons for failure and management.

  4. Jahnke, S., Cruysen, C., Prill, R., & Becker, R. (2023, February). Protocol for a randomized crossover trial to evaluate the effect of soft brace and rigid orthosis on performance and readiness to return to sport six months post-ACL-reconstruction.

  5. Jahnke, S., Becker, R., Królikowska, A., & Prill, R. (2022, August). Manual estimation of hip abductor strength – A practical alternative to conventional assessment tools? Conference Paper.

  6. Jahnke, S., Królikowska, A., Becker, R., & Prill, R. (2022, August). Influence of hip abductor strength on pelvis and knee position during a single-leg landing test. Conference Paper.

  7. Rinaldi, V. G., Prill, R., Jahnke, S., & Becker, R. (2022, August). The influence of gluteal muscle strength deficits on dynamic knee valgus: A scoping review.

Naila Camila da Rocha | Medicine and Health Sciences | Best Researcher Award

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Dr. Naila Camila da Rocha | Medicine and Health Sciences | Best Researcher Award

University of Wisconsin-Madison | United States

Dr. Naila Camila da Rocha is a distinguished researcher specializing in biostatistics, artificial intelligence in healthcare, and predictive analytics, with a strong focus on advancing precision medicine and healthcare delivery. She is completing her Ph.D. in Biometrics at São Paulo State University (UNESP) in collaboration with the University of Wisconsin–Madison, following a Master’s in Biometrics, a Professional Master’s in Applied Statistics, and a Bachelor’s in Administration. With over 14 years of experience in strategic planning, business intelligence, and applied statistics, she has held leadership roles including Head of Growth Strategy and Revenue at iFood, Data Science Manager at BRF, and currently works as a Data Scientist at Statbit, while also contributing as a volunteer researcher at the Clinics Hospital of Botucatu (LabData). Her research applies machine learning, natural language processing, and advanced statistical modeling to nephrology, transplantation, and chronic disease management, with impactful results such as predictive models for graft rejection, delayed graft function, and inequities in hemodialysis access. She has published more than 20 peer-reviewed papers in high-impact journals and received multiple prestigious awards, including the Massola Award (2025), AACD Summit Award (2025), Magaldi Award (2023), and Nestor Schor Award (2023). By successfully bridging data science with clinical applications, she has established herself as an influential voice in developing innovative tools for early diagnosis, risk stratification, and health system optimization, demonstrating excellence as a researcher whose work is shaping both academic knowledge and practical healthcare solutions.

Profile: Google Scholar | ORCID

Featured Publications

  • Beltramino, L., Bedacarratx, V., Roldán, P., González, N. A. M., … (2020). Aprendizajes y prácticas educativas en las actuales condiciones de época: COVID-19. Universidad Nacional de Córdoba, Facultad de Filosofía y Humanidades. Cited by: 33

  • Da Rocha, N. C., Barbosa, A. M. P., Schnr, Y. O., Machado-Rugolo, J., … (2022). Natural language processing to extract information from Portuguese-language medical records. Data, 8(1), 11. Cited by: 13

  • De Andrade, L. G. M., Barbosa, A. M. P., Da Rocha, N. C., Cardoso, M. M. de A., … (2022). Impact of the COVID-19 pandemic on solid organ transplant and rejection episodes in Brazil’s Unified Healthcare System. Journal of Clinical Medicine, 11(21), 6581. Cited by: 11

  • Ordones, F. V., Kawano, P. R., Vermeulen, L., Hooshyari, A., Scholtz, D., … (2025). A novel machine learning-based predictive model of clinically significant prostate cancer and online risk calculator. Urology, 196, 20–26. Cited by: 5

  • Addad, V. V., Palma, L. M. P., Vaisbich, M. H., Barbosa, A. M. P., … (2023). A comprehensive model for assessing and classifying patients with thrombotic microangiopathy: The TMA-INSIGHT score. Thrombosis Journal, 21(1), 119. Cited by: 5

  • Santos, G. P. A., Sesso, R., Lugon, J. R., Neves, P. D. M. de M., Barbosa, A. M. P., … (2024). Geographic inequities in hemodialysis access: A call to reassess dialysis facility locations in Brazil. Journal of Nephrology, 37(9), 2601–2608. Cited by: 4