Alina Diana Zamfir | Biomedical and Healthcare Applications | Best Researcher Award

Prof. Alina Diana Zamfir | Biomedical and Healthcare Applications | Best Researcher Award

Professor |  National Institute for R&D in Electrochemistry | Romania

Prof. Dr. Alina D. Zamfir is a leading Romanian scientist recognized internationally for her pioneering research in mass spectrometry, glycomics, proteomics, and structural biology. She currently holds dual appointments as Senior Scientific Researcher at the National Institute for Research and Development in Electrochemistry and Condensed Matter Research, Timisoara, and as Professor at Aurel Vlaicu University of Arad, Romania. she has also served as a PhD Supervisor at the Faculty of Physics, West University of Timisoara, mentoring numerous young scientists in advanced analytical methodologies.Prof. Zamfir’s research has made seminal contributions to the development of advanced mass spectrometry platforms, particularly in the integration of microfluidics, ion mobility, and nanoelectrospray systems for glycoproteomics and glycolipidomics. She has been the Principal Investigator of 17 national and international projects, funded by the Romanian UEFISCDI and the European Union, focusing on the structural and functional elucidation of complex biological molecules, including gangliosides and proteoglycans. Her collaborations extend across prestigious institutions such as the University of Münster, University of Konstanz (Germany), and Clarkson University (USA), contributing significantly to global biomedical research.Author of 198 peer-reviewed publications with over 3,018 citations and an h-index of 37, Prof. Zamfir’s work has appeared in high-impact journals including Analytical Chemistry, Electrophoresis, Glycobiology, and the Journal of the American Society for Mass Spectrometry. She has also served as Guest Editor for Molecules and Frontiers in Molecular Biosciences and as President of the Romanian Society for Mass Spectrometry since 2009, promoting the advancement of analytical sciences in Romania and beyond.Through her academic leadership, editorial contributions, and innovative research, Prof. Zamfir has profoundly influenced modern bioanalytical chemistry, driving forward applications in biomarker discovery, neurodegenerative disease research, and precision medicine. Her work bridges fundamental science and societal impact, advancing both Romania’s scientific excellence and the global progress of molecular biosciences.

Profiles: Google Scholar | ResearchGate

Featured Publications

1, Zamfir, A. D. (2007). Recent advances in sheathless interfacing of capillary electrophoresis and electrospray ionization mass spectrometry. Journal of Chromatography A, 1159(1–2), 2–13. Cited By : 117

2. Zamfir, A., Vakhrushev, S., Sterling, A., Niebel, H. J., Allen, M., & Peter-Katalinić, J. (2004). Fully automated chip-based mass spectrometry for complex carbohydrate system analysis. Analytical Chemistry, 76(7), 2046–2054.
Cited By : 94

3. Sarbu, M., Robu, A. C., Ghiulai, R. M., Vukelić, Z., Clemmer, D. E., & Zamfir, A. D. (2016). Electrospray ionization ion mobility mass spectrometry of human brain gangliosides. Analytical Chemistry, 88(10), 5166–5178. Cited By : 81

4. Sisu, E., Flangea, C., Serb, A., & Zamfir, A. D. (2011). Modern developments in mass spectrometry of chondroitin and dermatan sulfate glycosaminoglycans. Amino Acids, 41(2), 235–256. Cited By : 68

5. Zamfir, A. D., Bindila, L., Lion, N., Allen, M., Girault, H. H., & Peter-Katalinić, J. (2005). Chip electrospray mass spectrometry for carbohydrate analysis. Electrophoresis, 26(19), 3650–3673.* Cited By : 66

Ewert Bengtsson | Quantitative Microscopy | Best Researcher Award

Prof. Ewert Bengtsson | Quantitative Microscopy | Best Researcher Award

Professor Emeritus | Uppsala University | Sweden

Prof. Ewert Bengtsson is a distinguished researcher in computerized image analysis and medical imaging, with current work on AI-based diagnostic tools for cancer detection. He earned his PhD in Physics from Uppsala University, where he developed pioneering methods for computer-aided analysis of microscopic images applied to early cancer screening. His professional experience spans research leadership, including Director of the Centre for Image Analysis, Vice Rector for IT at Uppsala University, and project leadership in both academic and industry settings. He has contributed to numerous international collaborations and led projects in medical imaging and IT-driven healthcare solutions. His research interests include AI-based medical diagnostics, computer vision, image processing, and automated cancer detection systems. He has a strong record of mentorship, guiding over 40 doctoral students, and has contributed to global research communities through program committees, editorial boards, and invited talks. His work has been recognized with fellowships, academy memberships, and distinguished awards for contributions to science, engineering, and medical imaging. He possesses advanced research skills in medical image analysis, AI, machine learning, microscopy, and software development for diagnostic tools. 3,627 citations by 2,993 documents, 137 documents, 31 h-index, view h-index button is disabled in preview mode, further highlight his global impact and recognition.

Profiles: Google Scholar | Scopus | ORCID

Featured Publications

  1. Wählby, C., Sintorn, I. M., Erlandsson, F., Borgefors, G., & Bengtsson, E. (2004). Combining intensity, edge and shape information for 2D and 3D segmentation of cell nuclei in tissue sections. Journal of Microscopy, 215(1), 67–76.

  2. Rodenacker, K., & Bengtsson, E. (2003). A feature set for cytometry on digitized microscopic images. Analytical Cellular Pathology, 25(1), 1–36.

  3. Bengtsson, E., & Malm, P. (2014). Screening for cervical cancer using automated analysis of PAP‐smears. Computational and Mathematical Methods in Medicine, 2014, 842037.

  4. Wählby, C., Lindblad, J., Vondrus, M., Bengtsson, E., & Björkesten, L. (2002). Algorithms for cytoplasm segmentation of fluorescence labelled cells. Analytical Cellular Pathology: The Journal of the European Society for Analytical Cellular Pathology.

  5. Stenkvist, B., Bengtsson, E., Eriksson, O., Holmquist, J., Nordin, B., & others. (1979). Cardiac glycosides and breast cancer. The Lancet, 313(8115), 563.

Neven Saleh | Healthcare Engineering Systems | Women Researcher Award

Assist. Prof. Dr. Neven Saleh | Healthcare Engineering Systems | Women Researcher Award

Associate Professor | Future University in Egypt | Egypt

Assist. Prof. Dr. Neven Saleh is a highly motivated and detail-oriented researcher with extensive experience in biomedical engineering, machine learning, deep learning for disease diagnosis, healthcare technology, hospital design, and assistive communication systems. She holds a Ph.D. in Biomedical Engineering from Politecnico di Torino and a master’s and bachelor’s degree in biomedical and electronics engineering from Egyptian universities. She has served as an associate professor at multiple institutions, supervised numerous Ph.D. and M.Sc. students, and contributed to international research collaborations across Italy, Egypt, and the USA. Her research interests focus on AI-driven diagnostic systems for retinal and neurological disorders, cancer detection using image processing, healthcare technology assessment, hospital workflow optimization, and assistive technologies for patients with disabilities. She has received multiple awards and honors for her innovative projects, teaching excellence, and scientific contributions, including national competitions, best thesis awards, and international conference recognitions. She possesses strong research skills in machine learning, deep learning, computer vision, biomedical signal processing, medical instrumentation, and healthcare technology management. She is a member of professional organizations such as TWAS-OWSD and IFMBE and has completed advanced certifications in machine learning, clinical engineering, and healthcare quality management. Her research impact is reflected in 277 citations by 204 documents, 41 publications, and an h-index of 9.

Profile: Google Scholar | Scopus | ORCID

Featured Publications

  1. Saleh, N., Sharawi, A. A., Abd Elwahed, M., Petti, A., Puppato, D., & Balestra, G. (2014). Preventive maintenance prioritization index of medical equipment using quality function deployment. IEEE Journal of Biomedical and Health Informatics, 19(3), 1029–1035.

  2. Saleh, N., Abdel Wahed, M., & Salaheldin, A. M. (2022). Transfer learning‐based platform for detecting multi‐classification retinal disorders using optical coherence tomography images. International Journal of Imaging Systems and Technology, 32(3), 740–752.

  3. Saleh, N., Farghaly, M., Elshaaer, E., & Mousa, A. (2020). Smart glove-based gestures recognition system for Arabic sign language. In 2020 International Conference on Innovative Trends in Communication and … (pp. 37–…).

  4. Saleh, N., Hassan, M. A., & Salaheldin, A. M. (2024). Skin cancer classification based on an optimized convolutional neural network and multicriteria decision-making. Scientific Reports, 14(1), 17323.

  5. Salaheldin, A. M., Abdel Wahed, M., Talaat, M., & Saleh, N. (2024). Deep learning‐based automated detection and grading of papilledema from OCT images: A promising approach for improved clinical diagnosis and management. International Journal of Imaging Systems and Technology, 34(4), e23133.

Ipseeta Mohanty Ray | Biomedical | Excellence in Research

Prof Dr. Ipseeta Mohanty Ray | Biomedical | Excellence in Research

Prof Dr. Ipseeta Mohanty Ray at MGM Medical College & Hospital, India

Profile👨‍🎓

Scopus

Publications

Influence of Types of Media and Modes of Therapeutic Ultrasound on Drug Absorption in Phonophoresis: A Comparative Experimental Study on Rabbits
  • Authors: Sreeraj, S.R., Bellare, B., Ray, I.
    Journal: Research Journal of Pharmacy and Technology
    Year: 2023
Adverse Drug Monitoring in the Psychiatry Outpatient Department in a Tertiary Care Hospital – A Pilot Study
  • Authors: Gandhi, M., Zaveri, H., Ray, I., Gildhiyal, R.
    Journal: Biomedical and Pharmacology Journal
    Year: 2022
Evaluation of Analgesic Activity of Levofloxacin in Human Experimental Pain Model
  • Authors: Shetty, R., Chaudhari, S., Jadhav, P., Ray, I., Deshmukh, Y.
    Journal: Journal of Basic and Clinical Physiology and Pharmacology
    Year: 2015
Assessment of Usage of Antibiotics and Their Pattern of Antibiotic Sensitivity Test Among Childhood Fever
  • Authors: Suman, R.K., Ray, I.M., Mohanty, N.C., Mukhia, R.K., Deshmukh, Y.A.
    Journal: International Journal of Pharmacy and Pharmaceutical Sciences
    Year: 2014

Assoc Prof Dr. Jiuchuan Guo | Biosensor Technology | Best Researcher Award

Assoc Prof Dr. Jiuchuan Guo | Biosensor Technology | Best Researcher Award

Jiuchuan Guo at University of Electronic Science and Technology of China, China

👨‍🎓 Profiles

Scopus

Google Scholar

Summary

Assoc Prof Dr. Jiuchuan Guo is a dedicated researcher at the University of Electronic Science and Technology of China. His work centers around biosensor technology, with a focus on multi-modal biological microprobe sensing mechanisms and AI-driven biosensor development. He addresses challenges like low-abundance molecule detection, improving sensitivity, and reducing interference in biosensors.

Education

Assoc Prof Dr. Guo completed his education in Information and Communication Engineering, specializing in biosensor technologies.

Professional Experience

With extensive research experience, he has published 13 first-author papers, including highly impactful works in leading journals such as IEEE Trans, Biosensors and Bioelectronics, and Analytical Chemistry. He also holds 6 patents and was awarded the prestigious State Sponsored Postdoctoral Fellowship and the 2023 Science and Technology Progress Award.

🔬 Research Interests

Assoc Prof Dr. Guo’s research spans the development of portable biosensors, functionalized nanoprobes, and AI algorithms to enhance biosensor performance.

Publications

Overview of therapeutic drug monitoring and clinical practice

  • Authors: Zijun Fang, He Zhang, Jiuchuan Guo, Jinhong Guo
  • Journal: Talanta
  • Year: 2024

Minimally invasive electrochemical continuous glucose monitoring sensors: Recent progress and perspective

  • Authors: Yuanyuan Zou, Zhengkang Chu, Jiuchuan Guo, Shan Liu, Xing Ma, Jinhong Guo
  • Journal: Biosensors and Bioelectronics
  • Year: 2023

Organ-on-a-chip: A new tool for in vitro research

  • Authors: Jiasheng Yan, Ziwei Li, Jiuchuan Guo, Shan Liu, Jinhong Guo
  • Journal: Biosensors and Bioelectronics
  • Year: 2022

Integrated electrochemical lateral flow immunoassays (eLFIAs): recent advances

  • Authors: Jie Cheng, Guopan Yang, Jiuchuan Guo, Shan Liu, Jinhong Guo
  • Journal: Analyst
  • Year: 2022

Platelet detection based on improved YOLO_v3

  • Authors: Renting Liu, Chunhui Ren, Miaomiao Fu, Zhengkang Chu, Jiuchuan Guo
  • Journal: Cyborg and Bionic Systems
  • Year: 2022

Assoc Prof Dr. Diangeng Li | Biosensor Technology | Best Researcher Award

Assoc Prof Dr. Diangeng Li | Biosensor Technology | Best Researcher Award

Diangeng Li at Beijing Chao-Yang Hospital, Capital Medical University, China

👨‍🎓 Profiles

Scopus

Summary

Assoc Prof Dr. Diangeng Li, M.D., is an Associate Professor and Associate Chief Physician at Beijing Chao-Yang Hospital, Capital Medical University. He has extensive expertise in translational medicine, focusing on biosensor technology. As a Visiting Scholar at Jefferson Hospital, Thomas Jefferson University, he has contributed significantly to medical research and innovation.

Education

  • M.D., Medical Degree
  • Visiting Scholar, Jefferson Hospital, Thomas Jefferson University, U.S.A.

Professional Experience

  • Associate Chief Physician
  • Associate Researcher
  • Associate Professor
  • M.S. Tutor

🔬 Research Interests

  • Biosensor technology
  • Translational Medicine

 

Publications

Analysis of m6A-regulated genes and subtype classification in lupus nephritis

  • Authors: Li, D., Li, Y., Zhu, K., Sun, Q., Jin, M.
  • Journal: BMC Nephrology
  • Year: 2024

An EM-Tracked Approach for Calibrating the 3D Pose of Flexible Endoscopes.

  • Authors: Long, Z., Chi, Y., Zhang, X., Li, D., Jiang, Z.
  • Journal: Annals of Biomedical Engineering
  • Year: 2021

An Ultra-miniaturized Inflammation Monitoring Platform Implemented by Long Afterglow Lateral Flow Immunoassay

  • Authors: Guo, J., Zhang, Y., Fu, Y., Guo, J., Li, D.
  • Journal: IEEE Sensors Journal
  • Year: 2024

Research Progress and Prospects of Intelligent Diabetes Monitoring Systems: A Review.

  • Authors: Zou, Y., Chu, Z., Yang, T., Guo, J., Li, D.
  • Journal: IEEE Sensors Journal
  • Year: 2024

Integrative analysis of the association between circadian rhythm and lupus nephritis

  • Authors: Jin, M., Teng, F., Cao, B., Sun, Q., Li, D.
  • Journal: Clinical Kidney Journal
  • Year: 2023

Prof Dr. Jinhong Guo | Biosensor Technology | Best Researcher Award

Prof Dr. Jinhong Guo | Biosensor Technology | Best Researcher Award

Jinhong Guo at Shanghai Jiao Tong University, China

👨‍🎓 Profiles

Google Scholar

Summary

National Excellent Youth and Chongqing Jieqing Youth of China, with a focus on biosensor technology.

Education

Doctoral Director, Shanghai Jiao Tong University, Chongqing Medical University

Professional Experience

  • Chief of National Key R&D Programs
  • 200+ papers published (Nature Electronics, Angew Chem)
  • 50+ national invention patents, 30+ Class II/III medical device certifications
  • First Prize, Optical Engineering Society of China (2023)

🔬 Research Experience

  • Biosensor technology
  • Medical multimodal sensing & digital healthcare innovation
  • Technology commercialization and standardization of medical devices

 

Publications

Three-dimensional flexible electronics using solidified liquid metal with regulated plasticity

  • Authors: Guoqiang Li, Mingyang Zhang, Sanhu Liu, Man Yuan, Junjie Wu, Mei Yu, Lijun Teng, Zhiwu Xu, Jinhong Guo, Guanglin Li, Zhiyuan Liu, Xing Ma
  • Journal: Nature Electronics
  • Year: 2023

5G-enabled ultra-sensitive fluorescence sensor for proactive prognosis of COVID-19

  • Authors: Jiuchuan Guo, Shuqin Chen, Shulin Tian, Ke Liu, Jian Ni, Ming Zhao, Yuejun Kang, Xing Ma, Jinhong Guo
  • Journal: Biosensors and Bioelectronics
  • Year: 2021

Nanomaterial labels in lateral flow immunoassays for point-of-care-testing

  • Authors: Jiuchuan Guo, Shuqin Chen, Jinhong Guo, Xing Ma
  • Journal: Journal of Materials Science & Technology
  • Year: 2021

Multi-task joint learning model for segmenting and classifying tongue images using a deep neural network

  • Authors: Qiang Xu, Yu Zeng, Wenjun Tang, Wei Peng, Tingwei Xia, Zongrun Li, Fei Teng, Weihong Li, Jinhong Guo
  • Journal: IEEE journal of biomedical and health informatics
  • Year: 2020

Multiplexed detection of biomarkers in lateral-flow immunoassays

  • Authors: Lei Huang, Shulin Tian, Wenhao Zhao, Ke Liu, Xing Ma, Jinhong Guo
  • Journal: Analyst
  • Year: 2020

Mr. Yiming Zhang | biosensor technology | Best Researcher Award

Mr. Yiming Zhang | biosensor technology | Best Researcher Award

Yiming Zhang at University of Electronic Science and Technology of China, China

👨‍🎓 Profiles

Scopus

Orcid

Summary

Mr. Yiming Zhang is currently pursuing his master’s degree in bioelectronics at the University of Electronic Science and Technology of China. His work focuses on biosensor technology, biomedical equipment, and chemical sensors.

Education

Master’s student, Bioelectronics, University of Electronic Science and Technology of China

Professional Experience

Mr. Yiming has developed a neural network-driven detection system for analyzing long afterglow images of serum amyloid A (SAA), improving point-of-care testing with high accuracy.

🔬 Research Experience

  • Biosensor technology
  •  Image processing in biomedical applications
  • Neural network-driven analysis

 

Publications

A general approach for inferring the ancestry of recent ancestors of an admixed individual

  • Authors: Yiming Zhang, Haotian Zhang, Yufeng Wu
  • Journal: Proceedings of the National Academy of Sciences
  • Year: 2024

Joint inference of ancestry and genotypes of parents from children

  • Authors: Yiming Zhang, Yufeng Wu
  • Journal: iScience
  • Year: 2022

Inferring the ancestry of parents and grandparents from genetic data

  • Authors: Jingwen Pei, Sergei L. Kosakovsky Pond, Yiming Zhang, Rasmus Nielsen, Yufeng Wu
  • Journal: PLOS Computational Biology
  • Year: 2020

Energy-aware page replacement and consistency guarantee for hybrid NVM–DRAM memory systems

  • Authors: Zhan, J., Zhang, Y., Jiang, W., Yang, J., Li, L., Li, Y.
  • Journal: Journal of Systems Architecture
  • Year: 2018

Data management for automotive ECUs based on Hybrid RAM-NVM main memory

  • Authors: Yang, J., Zhan, J., Zhang, Y., Jiang, W., Li, L., Zhu, L., Tang, X.
  • Journal: Proceedings of the 13th International Conference on Embedded Software and System (ICESS 2016)
  • Year: 2017

Ms. Zakya Mhamdi | Biomedical | Best Researcher Award

Ms. Zakya Mhamdi | Biomedical | Best Researcher Award

Zakya Mhamdi at Moulay Ismail Univirsity, Morocco

Profiles

Scopus

Research Gate

📚 Summary

Ms. Zakya M’hamdi is a dedicated and detail-oriented PhD student in Fundamental and Applied Sciences with a specialization in Organic Chemistry. Her research focuses on the valorization of medicinal plants, emphasizing their antioxidant, antibacterial, and anticorrosive properties. Zakya’s academic journey is marked by significant research contributions and practical experiences in both local and international settings.

Education

  • 2023-2024: Doctorate in Fundamental and Applied Sciences (Organic Chemistry) – Université Moulay Ismail, Meknès, Morocco
  • 2020-2021: Master in Materials and Molecular Engineering (Molecular Chemistry and Natural Substances) – Université Moulay Ismail, Meknès, Morocco
  • 2018-2019: Bachelor’s in Fundamental Chemistry (Organic Chemistry) – Université Moulay Ismail, Meknès, Morocco
  • 2017-2018: DEUG in Chemistry – Université Moulay Ismail, Meknès, Morocco
  • 2015-2016: Baccalaureate in Experimental Sciences (Physical Sciences) – Lycée Amir Moulay Abdallah, Er-Rachidia, Morocco

💼 Professional Experience

  • 2023: Research Intern at CHIBIOFARAM Laboratory, University of Messina, Italy
  • 2023: Research Intern in Organometallic Materials Engineering Laboratory, Faculty of Sciences, University Sidi Mohamed Ben Abdellah, Fès, Morocco
  • 2022: Assisted in preparing practical lab sessions for Organic Chemistry modules at Université Moulay Ismail, Meknès, Morocco
  • 2021: Member of organizing committee for ICPAS 2022 and ICME6-2022 conferences; supervised student projects at Université Moulay Ismail, Meknès, Morocco

🔬 Research Interests

  • Medicinal Plants: Chemical composition and bioactivity of plants like Pelargonium graveolens and Urtica dioica
  • Analytical Techniques: Mastery in RX, IR, FX, UV, RMN, HPLC, CPG, CCM, ATG/ATD, SAA
  • Environmental Chemistry: Investigation of corrosion inhibitors and environmental degradation prevention
  • Antioxidant & Antibacterial Activities: Evaluation of plant extracts for their potential health benefits and industrial applications

🔧 Skills

  • Scientific Techniques: Proficient in various analytical and extraction techniques
  • Technical Tools: Experienced with Microsoft Word, Excel, PowerPoint, and Origin

 

Publications

Chemical composition and antibacterial activity of essential oil of Pelargonium graveolens and its fractions

  • Authors: M’hamdi, Z., Bouymajane, A., Riffi, O., Elhourri, M., Amechrouq, A.
  • Journal: Arabian Journal of Chemistry
  • Year: 2024

Study of the chemical composition and evaluation of the antioxidant and antimicrobial activity of Taxus baccata L.

  • Authors: Riffi, O., Reda Kachmar, M., M’hamdi, Z., Chakir, S., Amechrouq, A.
  • Journal: Arabian Journal of Chemistry
  • Year: 2023

Investigation into the Prevention of Environmental Degradation of Mild Steel in a 1M HCl Solution Using Extracts Derived from Pelargonium graveolens

  • Authors: M’hamdi, Z., Riffi, O., Ettahiri, W., Taleb, M., Amechrouq, A.
  • Journal: Journal of Bio- and Tribo-Corrosion
  • Year: 2023

Thermal analysis and determination of the heavy metal content of the plant Urtica Dioica L. by atomic absorption spectroscopy

  • Authors: M’hamdi, Z., Sabiri, M., Elhourri, M., Amechrouq, A.
  • Journal: Moroccan Journal of Chemistry
  • Year: 2023

Comparative Study of the Chemical Composition and Antioxidant Activities of the Essential Oil of Pelargonium graveolens from the Four Regions of Morocco

  • Authors: Zakya, M., Elhourri, M., Kachmar, M.R., Maryam, S., Ali, A.
  • Journal: Indian Journal of Agricultural Biochemistry
  • Year: 2022

Dr. Xiaopeng Wang | Biomedical | Academic Excellence Distinction Award

Dr. Xiaopeng Wang | Biomedical | Academic Excellence Distinction Award

Doctorate at Kunming University of Science and Technology, China

Profile

Orcid

Summary

Dr. Xiaopeng Wang is a Ph.D. holder and a researcher in bioinformatics at Kunming University of Science and Technology. His work focuses on interpreting the molecular characteristics of diseases through the analysis of large biological datasets.

Education

Dr. Wang holds a Ph.D. in Bioinformatics, specializing in the molecular analysis of diseases, from Kunming University of Science and Technology.

Professional Experience

Dr. Wang has led and contributed to various research projects, including the development of RCDdb, a manually curated database and analysis platform for regulated cell death. He has published in renowned journals like the Computational and Structural Biotechnology Journal.

🔬 Research Interests

His primary research interests lie in bioinformatics, with a specific focus on disease molecular characterization, regulated cell death, and the integration of biological data for advanced biomedical insights.

 

Publications

RCDdb: A manually curated database and analysis platform for regulated cell death

  • Authors: Xiaopeng Wang, Qing Wang, Jun Zhao, Jiaxin Chen, Ruo Wu, Juanjuan Pan, Jiaxin Li, Zechang Wang, Yongchang Chen, Wenting Guo, et al.
  • Journal: Computational and Structural Biotechnology Journal
  • Year: 2024

Cancer CRC: A Comprehensive Cancer Core Transcriptional Regulatory Circuit Resource and Analysis Platform

  • Authors: Wei L, Chen J, Song C, Zhang Y, Zhang Y, Xu M, Feng C, Gao Y, Qian F, Wang Q, et al.
  • Journal: Frontiers in Oncology
  • Year: 2021