Dr. Ziaurrehman Tanoli – Drug repurposing – Best Researcher Award

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Dr. Ziaurrehman Tanoli – Drug repurposing – Best Researcher Award

University of Helsinki, Finland

Author Profiles

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🎓Educational Background 

Dr. Tanoli completed his MS leading to PhD in Machine Learning at PIEAS and holds a Bachelor’s in Computer and Information Sciences from the same institution. In 2022, he was awarded the title of Docent in Pharmaceutical Chemistry by the University of Helsinki.

🏢Work Experience 

Dr. Tanoli has an extensive academic background, with experience in several prestigious institutions. Currently, he holds a position as a Senior Researcher at FIMM, and has previously served as an Associate Professor at the University of Helsinki. His prior roles include postdoctoral positions at FIMM, University of Helsinki, and the University of Sannio, Italy. He has also served as an Assistant Professor at COMSATS University Islamabad in Pakistan.

🏆Achievements 

Dr. Ziaurrehman Tanoli has established himself as an exceptional scientist, completing his PhD at the age of 27. His research has been widely recognized, with one of his most significant accomplishments being the publication of an article as the first author in Nature Reviews Drug Discovery (Impact Factor: 122). He co-organized the IDG-DREAM challenge, which was featured in Nature Communications in 2021. Dr. Tanoli also made notable strides in research challenges, such as winning the CTD2Pancancer Drug Activity Dream Challenge (CRM, 2022) and the CTD2Pancancer Chemosensitivity Dream Challenge (publication pending). His grant funding achievements include securing the AoF Project Funding (2022–2026) for €0.58M to support his project on drug repurposing and receiving a Young Researchers Grant (2023) from the Aaltonen Foundation for €37K. Furthermore, he has been awarded the MSCA SE EU Mobility Grant for €29K for the years 2025-2028.

🔬Research Expertise 

Dr. Tanoli specializes in AI-driven drug discovery, focusing on a variety of areas such as attention-based models, large language models, and generative AI for software development. His expertise extends to target-based drug discovery and repurposing, where he developed methods for predicting drug-target interactions across 7 protein superfamilies. He has also made significant contributions to phenotypic drug discovery, including multi-omics-based drug response prediction and synergistic drug combination identification. Dr. Tanoli has published 27 articles in the last five years, with 13 of them as corresponding or first author. His work has also expanded into the development of drug repurposing pipelines and drug safety analysis models.

💡Research Grants & Projects 

Throughout his career, Dr. Tanoli has secured numerous research grants and project funding for innovative drug discovery solutions. His projects span topics such as drug repurposing, AI models for drug discovery, and multi-omics analysis. The AoF Project (2022-2026) received €0.58M, and his other prestigious projects include the REMEDI4ALL EU Project (2022-2027) and EOSC-Life EU Project (2019-2023).

👩‍🏫Teaching & Supervision 

With over 300 contact hours of teaching, Dr. Tanoli has actively contributed to educational development. He has taught various topics related to pharmaceutical chemistry, machine learning, and bioinformatics. His dedication to mentorship is also evident through his supervision of 3 PhD students, 4 research assistants, 2 software developers, and 1 postdoc.

Notable Publicationsđź“ť

đź“ťComputational drug repurposing: approaches, evaluation of in silico resources and case studies

    • Authors: Ziaurrehman Tanoli, AdriĂ  Fernández-Torras, Umut Onur Ă–zcan, Aleksandr Kushnir, Kristen Michelle Nader, Yojana Gadiya, Laura Fiorenza, Aleksandr Ianevski, Markus Vähä-Koskela, Mitro Miihkinen et al.

    • Journal: Nature Reviews Drug Discovery

    • Year: 2025

đź“ťValidation guidelines for drug-target prediction methods

    • Authors: Ziaurrehman Tanoli, Aron Schulman, Tero Aittokallio

    • Journal: Expert Opinion on Drug Discovery

    • Year: 2025

📝Machine Learning and Artificial Intelligence in Drug Repurposing—Challenges and Perspectives

    • Authors: Ezequiel Anokian, Judith Bernett, Adrian Freeman, Markus List, LucĂ­a Prieto SantamarĂ­a, Ziaurrehman Tanoli, Sarah Bonnin

    • Journal: Drug Repurposing

    • Year: 2024

đź“ťPGxDB: An interactive web-platform for pharmacogenomics research

    • Authors: Trinh Trung Duong Nguyen, Ziaurrehman Tanoli, Saad Hassan, Umut Ă–zcan, Jimmy Caroli, Albert Kooistra, David Gloriam, Alexander Hauser

    • Journal: Nucleic Acids Research

    • Year: 2024

📝Attention-based approach to predict drug–target interactions across seven target superfamilies

    • Authors: Aron Schulman, Juho Rousu, Tero Aittokallio, Ziaurrehman Tanoli, Xin Gao

    • Journal: Bioinformatics

    • Year: 2024

 

Ms. Gege Zhang – Neurology – Best Researcher Award

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Ms. Gege Zhang – Neurology – Best Researcher Award

The Affiliated Hospital of Xuzhou Medical University – China

Author Profile

Scopus

🎓 Academic Pursuits

Ms. Gege Zhang is currently a graduate student at Xuzhou Medical University, pursuing a degree in Neurology with a specialization in cerebrovascular diseases. With a strong academic foundation, Gege is dedicated to exploring the complexities of neurological disorders, particularly those affecting the cerebral and cardiovascular arteries.

🔬 Research Focus – Cerebrovascular Diseases

Gege’s primary research area revolves around cerebral and cardiovascular artery stenosis, with a keen interest in understanding the impact of carotid artery stenosis. Through rigorous research and analysis, Gege has contributed to the field by investigating the pathophysiology, risk factors, and potential interventions for cerebrovascular conditions.

đź“Š Integration of Big Data in Neurological Research

Recognizing the transformative power of big data in modern medicine, Gege has developed a solid understanding of its application in neurological research. By leveraging advanced data analytics, Gege has helped enhance the interpretation of large-scale medical datasets, allowing for a deeper insight into disease progression, diagnosis, and treatment strategies.

✍️ Contributions to Research

Gege Zhang has played a significant role in multiple research projects, particularly in the areas of data collection and interpretation, ensuring the accuracy and reliability of findings. By meticulously analyzing vast datasets, Gege has helped uncover critical insights into cerebrovascular diseases, particularly focusing on carotid artery stenosis. In addition, Gege has contributed to formulating key viewpoints, offering innovative perspectives that enhance the understanding of these complex conditions. Through writing and structuring manuscripts, Gege has played a pivotal role in producing high-quality scientific publications, ensuring that research findings are effectively communicated to the broader medical and scientific community. This comprehensive approach has not only strengthened the overall impact of the studies but has also underscored the importance of big data in advancing neurology.

Notable Publicationđź“ť

đź“ťMultidimensional engineering of Saccharomyces cerevisiae for the efficient production of heme by exploring the cytotoxicity and tolerance of heme

Authors: Qidi Guo, Jiacun Li, Mingrui Wang, Fengqing Wang, Dongzhi Wei

Journal: Metabolic Engineering

Year: 2024

Mr. Matieta Yemene Valaire -Pharmacology- Best Researcher Award

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Mr. Matieta Yemene Valaire –Pharmacology- Best Researcher Award

university of Dschang – Cameroon

Author Profile

Scopus

🎓 Educational Background

In 2021, Matieta Yemene Valaire obtained a Master of Science (MSc) in Biochemistry (Pharmacology) from the University of Dschang, Faculty of Science, DSST, Department of Biochemistry. They graduated with Distinction: Good. Their master’s thesis, titled “Evaluation of the antiklebsiella activity of methanol extracts of eight food plants from Cameroon and the effect of their combinations with usual antibiotics and PAβN,” focused on antimicrobial properties of natural extracts. This research was supervised by Pr. MBAVENG TSAFACK Armelle. In 2019, they earned a Bachelor of Science (BSc) in Biochemistry (Pharmacology) from the University of Dschang, Faculty of Science, Department of Biochemistry. They completed their undergraduate studies with Distinction: Good Enough, showcasing their dedication and academic excellence in pharmacological biochemistry.

🏆 Honors and Awards

Matieta Yemene Valaire has received multiple academic and research accolades throughout their career. In 2019, they were recognized as the valedictorian of their promotion in Biochemistry (Pharmacology) at the Department of Biochemistry, University of Dschang, Cameroon. Since 2020, they have contributed to academia as a schoolteacher in Jackson Group Repetition Class at the University of Dschang, mentoring students in biochemistry and pharmacology. In 2021, their hard work and commitment to academic excellence earned them the title of second-best student in Biochemistry (Pharmacology specialty) at the Department of Biochemistry, University of Dschang. In 2023, they were honored with the prestigious TWAS-DBT 2023 Postgraduate Fellowship Programme Award, recognizing their outstanding research contributions in the field of biochemistry and microbiology.

🧪 Techniques and Skills

Matieta Yemene Valaire possesses a diverse set of laboratory skills and expertise in microbiology, pharmacology, and biochemical research. They have hands-on experience in bacteria culture techniques using different culture media, contributing to research on plant-derived anticancer substances. Their skills extend to plant extraction and phytochemical screening techniques, which are essential for identifying bioactive compounds with potential pharmaceutical applications. Additionally, they are proficient in antibiogram techniques and microdilution methods, which are critical for evaluating the antimicrobial activity of natural products. Matieta is also skilled in blood sample preparation and cell counting from laboratory animals, a fundamental technique in pharmacological and toxicological studies. They have expertise in serum preparation and biochemical parameter dosage, which are essential for analyzing the physiological effects of pharmacological agents. Furthermore, they have conducted research on cytotoxicity, acute and sub-chronic toxicities, and explored the mechanism of action of plant extracts on bacteria, contributing to the growing body of knowledge in natural antimicrobial compounds.

Notable Publicationđź“„

đź“„Cytotoxicity, acute and subchronic toxicity of the methanol extract from the fruits of Psorospermun febrifugum Spach (Hypericaceae) in Wistar albino rats
  • Authors: J.F. Megaptche, R.D.T. Nago, S.B. Tankeo, T.H. Efferth, V. Kuete, et al.

  • Journal: South African Journal of Botany

  • Year: 2025