Carlos Alberto Pastore | Medicine and Health Sciences | Best Researcher Award

Prof. Carlos Alberto Pastore | Medicine and Health Sciences | Best Researcher Award

Heart Institute of the Hospital das Clínicas of FMUSP | Brazil

Prof. Carlos Alberto Pastore is a distinguished cardiologist and researcher from the University of São Paulo, Brazil, internationally recognized for his pioneering work in electrocardiology and vectorcardiography. As a Professor and Medical Collaborator at the Faculty of Medicine, University of São Paulo (FMUSP), he has significantly advanced diagnostic methods for cardiac electrical diseases, cardiac mapping, and non-invasive electrocardiographic techniques. His research specializes in surface electrocardiographic mapping, high-resolution ECG, microalternans of the T wave (mTWA), and vectorcardiographic analysis of ventricular activation and repolarization abnormalities. Prof. Carlos Alberto Pastore has played a vital role in refining diagnostic criteria for arrhythmogenic disorders, ventricular hypertrophy, and cardiac resynchronization therapy, and he has applied artificial neural networks and machine learning in ECG-based cardiopathy detection in collaboration with the Federal University of Technology of Paraná (UTFPR). At InCor – Heart Institute (Hospital das Clínicas, FMUSP), he has held major roles including Director of the Clinical Unit of Resting Electrocardiography, Medical Director of Telemedicine, and Vice-President of the Zerbini Foundation, contributing to translational cardiology and digital health innovation. He also served as President (2013–2015) of the International Society of Electrocardiology (ISE) and is a Fellow of the European Society of Cardiology (FESC). According to Scopus (Author ID: 7006635654), Prof. Carlos Alberto Pastore has authored 53 scientific publications, received 1,014 citations from 948 documents, and holds an h-index of 12. His research has appeared in leading journals including the Journal of Electrocardiology, Annals of Noninvasive Electrocardiology, Arquivos Brasileiros de Cardiologia, and JACC, making him one of Brazil’s leading authorities in clinical electrocardiology and cardiovascular diagnostics.

Profiles: Scopus | Google Scholar | ORCID | ResearchGate

Featured Publications

• de Luna, A. B., Brugada, J., Baranchuk, A., Borggrefe, M., Breithardt, G., & Pastore, C. A. (2012). Current electrocardiographic criteria for diagnosis of Brugada pattern: A consensus report. Journal of Electrocardiology, 45(5), 433–442.* https://doi.org/10.1016/j.jelectrocard.2012.06.004

• de Luna, A. B., Platonov, P., Cosio, F. G., Cygankiewicz, I., Pastore, C., Baranowski, R., … & Spodick, D. (2012). Interatrial blocks: A separate entity from left atrial enlargement: A consensus report. Journal of Electrocardiology, 45(5), 445–451.* https://doi.org/10.1016/j.jelectrocard.2012.06.008

• Pastore, C. A., Pinho, J. A., Pinho, C., Samesima, N., Pereira Filho, H. G., & Mansur, A. P., et al. (2016). III Diretrizes da Sociedade Brasileira de Cardiologia sobre análise e emissão de laudos eletrocardiográficos. Arquivos Brasileiros de Cardiologia, 106(4 Suppl 1), 1–23.* https://doi.org/10.5935/abc.20160054

• Santos, I. S., Goulart, A. C., Brandão, R. M., Santos, R. C. O., Bittencourt, M. S., Sitnik, D., … & Pastore, C. A. (2015). One-year mortality after an acute coronary event and its clinical predictors: The ERICO study. Arquivos Brasileiros de Cardiologia, 105(1), 53–64.* https://doi.org/10.5935/abc.20150049

• Digby, G. C., Kukla, P., Zhan, Z. Q., Pastore, C. A., Piotrowicz, R., Schapachnik, E., … & Baranchuk, A. (2015). The value of electrocardiographic abnormalities in the prognosis of pulmonary embolism: A consensus paper. Annals of Noninvasive Electrocardiology, 20(3), 207–223.* https://doi.org/10.1111/anec.12235

Yan Bai | Medicine and Health Sciences | Best Researcher Award

Dr. Yan Bai | Medicine and Health Sciences | Best Researcher Award

Yunnan University | China

Dr. Yan Bai is a highly accomplished postdoctoral researcher at the State Key Laboratory of Conservation and Utilization of Bio-resources in Yunnan and the Center for Life Sciences, School of Life Sciences, Yunnan University, Kunming, China. She earned her PhD in Cell Biology from Yunnan University, MSc in Pharmacology from the Chinese PLA Medical Academy, and BSc in Pharmacy from Dali University, establishing a strong interdisciplinary foundation spanning pharmacology, microbiology, and cellular biology. Prior to her current role, she conducted research at the Chinese PLA General Hospital, focusing on combination therapies against multidrug-resistant bacteria. Her research primarily investigates mitochondrial homeostasis, tumor biology, and the molecular mechanisms underlying mitochondrial genetic diseases, with particular attention to mitochondria-associated condensates (MATOs) as regulators of protein translation and mitochondrial integrity. Dr. Yan Bai has led and contributed to several major research projects, including grants from the National Natural Science Foundation of China, the National Basic Research Program, and Yunnan Province Science and Technology initiatives. Her work has resulted in high-impact publications in journals such as Nature Aging (2025), Sci China Life Sci (2025), EMBO J (2024), and Biophys Rep (2024). According to Scopus, she has authored 10 publications, cited 177 times across 169 documents, with an h-index of 6, demonstrating both productivity and influence in her field. Through her interdisciplinary collaborations, innovative experimental approaches, and groundbreaking findings on mitochondrial regulation and aging, Dr. Yan Bai has made significant contributions to biomedical science, advancing understanding of mitochondrial biology, disease mechanisms, and translational biomedical applications.

Profile: Scopus

Featured Publications

Bai, Y., Ma, T., Zhao, S., Li, S., Wang, X., Li, J., Sun, W., Yang, Y., Liu, F., Shan, Q., Qin, Z., Liu, N., Zhang, J., Tian, F., Duan, M., Chen, S., Lai, F., Chen, Q., Wu, X., & Yang, C. (2025). Mitochondria-associated condensates maintain mitochondrial homeostasis and promote lifespan. Nature Aging.

Hao, Q., Bai, Y., Guan, R., Dong, R., Bai, W., Hamdy, H., Wang, L., Meng, M., Sun, Y., Shen, J., & Sun, J. (2025). VPS35/Retromer-dependent MT1-MMP regulation confers melanoma metastasis. Science China Life Sciences, 68(7), 1996–2009.

Hao, Q., Dong, R., Bai, W., Chang, D., Yao, X., Zhang, Y., Xu, H., Li, H., Kui, X., Wang, F., Wang, Y., Wang, C., Lei, Y., Chen, Y., Shen, J., Sang, L., Bai, Y., & Sun, J. (2024). Screening for metastasis-related genes in mouse melanoma cells through sequential tail vein injection. Biophysical Reports, 10(1), 15–21.

Liu, F., Li, T., Gong, H., Tian, F., Bai, Y., Wang, H., Yang, C., Li, Y., Guo, F., Liu, S., & Chen, Q. (2024). Structural insights into the molecular effects of the anthelmintics monepantel and betaine on the Caenorhabditis elegans acetylcholine receptor ACR-23. EMBO Journal, 43(17), 3787–3806.

Wang, T., Zhou, X., Bai, Y., Zhang, L., Li, L., & Wu, C. (2018). Antiepileptic effect of uridine may be caused by regulating dopamine release and receptor expression in corpus striatum. Brain Research, 1688, 47–53.

Bai, Y., Liu, B., Wang, T., Cai, Y., Liang, B., Wang, R., Liu, Y., & Wang, J. (2015). In vitro activities of combinations of rifampin with other antimicrobials against multidrug-resistant Acinetobacter baumannii. Antimicrobial Agents and Chemotherapy, 59(3), 1466–1471.

Liu, B., Bai, Y., Liu, Y., Di, X., Zhang, X., Wang, R., & Wang, J. (2015). In vitro activity of tigecycline in combination with cefoperazone-sulbactam against multidrug-resistant Acinetobacter baumannii. Journal of Chemotherapy, 27(5), 271–276.

Alphonse Houssou Hounye | medicine | Best Researcher Award

Dr. Alphonse Houssou Hounye | Medicine | Best Researcher Award

Second Xiangya Hospital | Central south university | China

Dr. Hounye Alphonse Houssou is a dedicated mathematician and researcher currently affiliated with the General Surgery Department at the Second Xiangya Hospital, Central South University, China. With a focus on bioinformatics, image processing, and statistical machine learning, Dr. Houssou is recognized for his significant contributions to scientific research, particularly in cancer prognosis and machine learning models.

Profile

Scopus

Orcid

Strengths for the Awards

Dr. Alphonse Hounye Houssou demonstrates exceptional strengths in the field of scientific research, particularly in bioinformatics, image processing, and machine learning. His contributions include:

  1. Extensive Research Output: With 32 research papers and 21 SCI-indexed publications, including eight as the first author, Dr. Houssou has proven his ability to publish high-quality and impactful research.
  2. Innovative Contributions: His work on high-dimensional omics data analysis has led to groundbreaking findings, such as identifying hub immune-related genes (TRIM67, CORT, PSPN, SCAMP5, RFXAP) in pancreatic cancer prognosis.
  3. Recognition and Awards: He has earned multiple prestigious awards, including the ITCIE Award, Best Researcher Award (International Research Awards), and the Outstanding International Student Award (2022–2023).
  4. Leadership and Collaboration: Dr. Houssou has collaborated with over 10 institutions, participated in COVID-19-related research projects, and contributed to academic seminars, showcasing his leadership and teamwork abilities.

Education 🎓

Dr. Hounye Alphonse Houssou obtained a B.S. in Mathematics from Abomey-Calavi University, Benin, and earned an M.S. in Mathematical Statistics from JiangXi University of Finance and Economics, China, in 2015 and 2020, respectively. Currently, he is pursuing a Ph.D. at the School of Mathematics and Statistics, Central South University, China.

Experience 🏢

With extensive academic and professional experience, Dr. Houssou has been part of numerous innovative research projects. He has also contributed to COVID-19-related academic seminars and exhibited leadership across multidisciplinary teams. Additionally, he actively collaborates with over 10 research institutions globally, contributing to groundbreaking scientific advancements.

Research Interests On medicine🔬

Dr. Houssou’s research interests include:

  • Bioinformatics
  • Image Processing
  • Statistical and Deep Machine Learning

His work focuses on analyzing high-dimensional omics data, developing individualized risk assessments, and uncovering disease biomarkers for improved diagnostics and treatments, particularly in oncology.

Awards 🏆

Dr. Houssou has received several prestigious accolades:

  • ITCIE Award for research excellence
  • Best Researcher Award (International Research Award on Advanced Nanomaterials and Nanotechnology)
  • Outstanding International Student Award (2022–2023)

These awards reflect his contributions to advanced scientific research and innovation.

Publications 📚

  • Title: Characterization of PANoptosis-related genes in Crohn’s disease by integrated bioinformatics, machine learning, and experiments
    Authors: Yang, Y., Hounye, A.H., Chen, Y., Shi, G., Xiao, Y.
    Year: 2024
    Citations: 2
  • Title: A graph-optimized deep learning framework for recognition of Barrett’s esophagus and reflux esophagitis
    Authors: Hou, M., Wang, J., Liu, T., Wang, K., Chen, S.
    Year: 2024
    Citations: 0
  • Title: Explainable machine learning model identified potential biomarkers in liver cancer survival prediction
    Authors: Pan, Q., Houssou Hounye, A., Miao, K., Hou, M., Xiong, L.
    Year: 2024
    Citations: 0
  • Title: Automated heart disease prediction using improved explainable learning-based technique
    Authors: Bizimana, P.C., Zhang, Z., Hounye, A.H., Hammad, M., El-Latif, A.A.A.
    Year: 2024
    Citations: 3
  • Title: Explainable cancer factors discovery: Shapley additive explanation for machine learning models demonstrates the best practices in the case of pancreatic cancer
    Authors: Su, L., Hounye, A.H., Pan, Q., Hou, M., Xiong, L.
    Year: 2024
    Citations: 1
  • Title: Exploring explainable machine learning and Shapley additive explanations (SHAP) technique to uncover key factors of HNSC cancer: An analysis of the best practices
    Authors: Miao, K., Houssou Hounye, A., Su, L., Hou, M., Xiong, L.
    Year: 2024
    Citations: 5
  • Title: Integrated explainable machine learning and multi-omics analysis for survival prediction in cancer with immunotherapy response
    Authors: Hounye, A.H., Xiong, L., Hou, M.
    Year: 2024
    Citations: 0
  • Title: SCARNet: using convolution neural network to predict time series with time-varying variance
    Authors: Zhao, S., Kong, M., Li, R., Hou, M., Cao, C.
    Year: 2024
    Citations: 1
  • Title: Modeling SARS coronavirus-2 omicron variant dynamic via novel fractional derivatives with immunization and memory trace effects
    Authors: Liu, T., Yin, X., Liu, Q., Houssou Hounye, A.
    Year: 2024
    Citations: 1
  • Title: Evaluation of drug sensitivity, immunological characteristics, and prognosis in melanoma patients using an endoplasmic reticulum stress-associated signature based on bioinformatics and pan-cancer analysis
    Authors: Hounye, A.H., Hu, B., Wang, Z., Hou, M., Qi, M.
    Year: 2023
    Citations: 0

Conclusion ✅

Dr. Hounye Alphonse Houssou is a dynamic researcher dedicated to advancing machine learning applications in bioinformatics and medical diagnostics. His impactful contributions to cancer prognosis, along with numerous publications and awards, underscore his role as a leading scientist in the field.