John Bush Idoko | Cardiology | Research Excellence Award

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Health Scientists Awards

John Bush Idoko
Near East University, Cyprus

John Bush Idoko
Affiliation Near East University
Country Cyprus
Scopus ID 57200209705
Documents 55
Citations 481
h-index 10
Subject Area Cardiology
Event Health Scientists Awards

John Bush Idoko is a researcher affiliated with Near East University in Cyprus whose scholarly activities span medical and health sciences with notable engagement in cardiology-related research and interdisciplinary biomedical investigations. His publication portfolio demonstrates contributions to machine learning applications in health sciences, neurological signal processing, and clinical analytics. The researcher has established measurable academic visibility through indexed publications, citations, and collaborative scientific output documented in major international databases.[1]

Abstract

This academic article presents a structured overview of the scholarly profile and research contributions of John Bush Idoko of Near East University, Cyprus. The page evaluates the researcher’s publication activities, citation indicators, interdisciplinary collaborations, and contributions to health science and biomedical analytics. Particular attention is given to publications associated with neurological diagnostics, deep learning applications in medicine, and computational approaches to health-related signal analysis. The article further discusses the relevance of the researcher’s scientific portfolio within the context of the Health Scientists Awards and highlights the consistency of publication productivity and research visibility within indexed academic databases.[2]

Keywords

Cardiology, Biomedical Engineering, Machine Learning, EEG Analysis, Deep Learning, Health Sciences, Clinical Analytics, Medical Informatics, Computational Medicine, Scientific Impact

Introduction

Contemporary health sciences increasingly integrate computational technologies, biomedical analytics, and artificial intelligence methodologies to improve diagnostic accuracy and healthcare efficiency. Researchers working at the intersection of medical sciences and intelligent systems contribute significantly to the modernization of healthcare research infrastructure. John Bush Idoko’s scholarly activities align with these evolving academic trends through publications associated with neural network methodologies, biomedical signal processing, and clinical interpretation systems.[3]

The international research environment has increasingly recognized interdisciplinary scientific collaborations that combine computational modeling with clinical sciences. Academic researchers contributing to this area frequently engage in studies involving diagnostic systems, machine learning algorithms, and predictive analytics for medical applications. Publications attributed to John Bush Idoko indicate participation in these developing scientific domains with measurable scholarly visibility across indexed academic platforms.[1]

Research Profile

John Bush Idoko is affiliated with Near East University in Cyprus and has developed an academic profile characterized by interdisciplinary research contributions involving medical sciences, signal processing, and intelligent computational systems. According to indexed bibliographic records, the researcher has produced 55 documents with 481 citations and an h-index of 10, reflecting moderate and consistent scholarly engagement within internationally indexed literature.[1]

The researcher’s publication trajectory demonstrates collaborative engagement with scientists from multiple institutions and disciplinary backgrounds. Several studies involve neural networks, convolutional deep learning systems, biomedical image interpretation, and clinical decision-support methodologies. Such interdisciplinary research profiles are increasingly important in modern health science ecosystems where computational methods assist in healthcare diagnostics and patient management strategies.[4]

Research Contributions

The research contributions associated with John Bush Idoko include investigations into biomedical signal analysis, epileptic EEG identification systems, and deep learning approaches for medical pattern recognition. These contributions reflect ongoing scientific interest in leveraging computational intelligence to improve diagnostic precision and clinical interpretation methodologies.[2]

One area of scholarly contribution involves convolutional neural network applications for EEG signal classification. Research in this area supports the development of automated neurological analysis systems capable of assisting healthcare practitioners in diagnostic processes. Such studies contribute to broader efforts within biomedical engineering and clinical informatics aimed at improving healthcare efficiency and analytical reliability.[3]

Additional contributions include studies related to sign language translation using deep neural networks and interdisciplinary artificial intelligence frameworks applied to health communication technologies. These works collectively illustrate the researcher’s participation in computational approaches that support healthcare accessibility, diagnostic automation, and biomedical data interpretation.[4]

Publications

  • Abiyev, R., Arslan, M., Idoko, J. B., Sekeroglu, B., & Ilhan, A. “Identification of epileptic EEG signals using convolutional neural networks.” Applied Sciences, 2020.
    https://doi.org/10.3390/app10124089
  • Abiyev, R. H., Arslan, M., & Idoko, J. B. “Sign language translation using deep convolutional neural networks.” KSII Transactions on Internet and Information Systems, 2020.
    https://doi.org/10.3837/tiis.2020.02.018
  • Research publications involving biomedical data analytics, machine learning applications, and intelligent healthcare systems indexed within Scopus and Google Scholar databases.[1]

Research Impact

The measurable research impact associated with John Bush Idoko is reflected through citation activity, interdisciplinary collaborations, and publication visibility across recognized indexing platforms. Citation metrics indicate that the researcher’s publications have contributed to ongoing academic discussions within biomedical engineering, computational medicine, and health informatics.[1]

The integration of deep learning methodologies into biomedical diagnostics represents an active area of international scientific development. Contributions related to EEG analysis and medical classification systems have relevance to modern healthcare technologies and emerging intelligent diagnostic infrastructures. Such research may contribute to future clinical applications, data interpretation systems, and computational healthcare solutions.[2]

Award Suitability

The scholarly profile of John Bush Idoko demonstrates characteristics commonly associated with academic recognition programs in health sciences, including interdisciplinary collaboration, indexed publication output, citation visibility, and engagement with emerging biomedical technologies. The integration of artificial intelligence methodologies into health science investigations aligns with evolving priorities within international healthcare research communities.[4]

The Health Scientists Awards program recognizes researchers whose academic contributions support innovation, scientific advancement, and interdisciplinary development in healthcare-related fields. Based on available bibliographic indicators and publication themes, the researcher’s profile demonstrates relevance to these academic evaluation criteria.[5]

Conclusion

John Bush Idoko’s academic profile reflects ongoing contributions to interdisciplinary health science research involving machine learning, biomedical analytics, and intelligent diagnostic systems. Indexed publications, citation metrics, and collaborative research activities collectively indicate sustained engagement with contemporary computational healthcare methodologies. The researcher’s portfolio demonstrates relevance within emerging scientific areas that integrate biomedical sciences and artificial intelligence technologies. Such contributions support broader international efforts aimed at improving healthcare diagnostics, analytical efficiency, and digital health innovation.[1]

References

  1. Elsevier. (n.d.). Scopus author details: John Bush Idoko, Author ID 57200209705. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57200209705
  2. Abiyev, R., Arslan, M., Idoko, J. B., Sekeroglu, B., & Ilhan, A. (2020). Identification of epileptic EEG signals using convolutional neural networks. Applied Sciences.
    https://doi.org/10.3390/app10124089
  3. Google Scholar. (n.d.). John Bush Idoko citation profile and indexed publications.
    https://scholar.google.com/citations?user=eVqc6HkAAAAJ&hl=en&oi=ao
  4. Sekeroglu, B., Abiyev, R., Ilhan, A., Arslan, M., & Idoko, J. B. “Systematic literature review on machine learning and student performance prediction: Critical gaps and possible remedies.” Applied Sciences, 11(22), 10907. https://doi.org/10.3390/app112210907
  5. Health Scientists Awards. (n.d.). Official award information and evaluation categories.
    https://healthscientists.org/

Showkat Ahmad Bhat | Translational Research | Editorial Board Member

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Dr. Showkat Ahmad Bhat | Translational Research | Editorial Board Member

Associate Professor | Deptt. of Biochemistry, Govt. Medical College Handwara | India

Dr. Showkat Ahmad Bhat is an accomplished biochemist and academic leader whose work spans clinical biochemistry, cancer biology, molecular biology, proteomics, and communicable diseases, reflecting a career dedicated to advancing both fundamental understanding and applied biomedical research. As an Associate Professor in the Department of Biochemistry at Government Medical College Handwara, he has developed a strong interdisciplinary portfolio with widely cited contributions across diverse domains, including the pharmacological potential of natural compounds, heavy metal toxicity, inflammatory mediators in metabolic disorders, animal and poultry health, and infectious disease pathogenesis. His research on bioactive phytochemicals such as zingerone, naringenin, and D-limonene has provided valuable insights into antioxidant, anti-inflammatory, and organ-protective mechanisms, while his work on microbial threats such as Salmonella, gastrointestinal parasites, and foot-and-mouth disease has informed both veterinary and public health perspectives. Dr. Bhat has collaborated extensively with national and international researchers, contributing to reviews, experimental studies, and translational investigations published in reputable journals spanning medical, veterinary, and biochemical sciences. His scholarship also extends to emerging fields such as epigenetic markers and microRNAs in breast cancer, reflecting his commitment to integrating molecular diagnostics with clinical needs. Beyond research, he has helped shape scientific understanding in the Kashmir region by addressing local health challenges, supporting capacity-building, and promoting evidence-based approaches in clinical biochemistry and infectious disease management. His cumulative body of work underscores a sustained commitment to improving human and animal health through rigorous inquiry, multidisciplinary collaboration, and the pursuit of innovative, socially relevant solutions. He has 546 citations from 28 documents with an h-index of 10.

Profiles: Google Scholar | Scopus | ORCID

Featured Publications

1. Bilal Ahmad, S. B., Rehman, M. U., Amin, I., Arif, A., Rasool, S., … (2015). A review on pharmacological properties of zingerone (4-(4-hydroxy-3-methoxyphenyl)-2-butanone). The Scientific World Journal.

2. Bhat, S. A., Hassan, T., & Majid, S. (2019). Heavy metal toxicity and their harmful effects on living organisms: A review. International Journal of Medical Science and Diagnosis Research.

3. Dar, R. A. S. N. A. G. M. A., Ahmad, S. M., Bhat, S. A., Ahmed, R., Urwat, U., Mumtaz, P. T., … (2017). Salmonella typhimurium in poultry: A review. World’s Poultry Science Journal.

4. Bashir, A. H., Bhat, S. A., Majid, S., & Hamid, R. (2020). Role of inflammatory mediators (TNF-α, IL-6, CRP), biochemical and hematological parameters in type 2 diabetes mellitus patients of Kashmir, India. Medical Journal of the Islamic Republic of Iran.

5. Reshi, M. R. M. A., Husain, I., Bhat, S. A., Rehman, M. U., & Razak, R. (2015). Bovine mastitis as an evolving disease and its impact on the dairy industry. International Journal of Current Research and Review.

Pradeep Kumar Chand | Translational Research | Best Health Biotechnology Award

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Prof. Pradeep Kumar Chand | Translational Research | Best Health Biotechnology Award 

Former Vice Chancellor | Utkal University | India

Prof. (Dr.) Pradeep Kumar Chand is a distinguished academician and researcher, currently serving as Chairperson of NAAC Peer Teams constituted by the National Assessment and Accreditation Council (Government of India) and formerly the Vice Chancellor of a State University. He earned his B.Sc. (Botany Hons.) and M.Sc. (Botany) with top distinctions and obtained his Ph.D. in Science from a reputed university in the United Kingdom, specializing in Plant Biotechnology and Genetic Engineering. With over 37 years of teaching and research experience, Prof. Chand’s pioneering contributions encompass plant tissue culture, genetic transformation, somatic hybridization, DNA fingerprinting, biogenic nanotechnology, and phytochemical analysis. He has guided numerous postgraduate research scholars, including several Ph.D. and M.Phil. awardees, and has authored numerous research papers in reputed international and national journals. His work in green nanotechnology and nano-onco-therapeutics has earned wide academic recognition. Prof. Chand has been honored with prestigious fellowships from organizations such as the DBT, DST, and INSA, and has served as a Biotechnology Overseas Associate under the Government of India’s Department of Biotechnology. His research collaborations with globally recognized institutions in Europe, Asia, and the United States highlight his international scientific engagement. Additionally, Prof. Chand has held editorial and peer-review roles in several scientific journals, contributing significantly to advancing research standards in biotechnology and plant sciences both nationally and internationally. He has 2333 citations from 81 documents with an h-index of 27.

Profiles: Google Scholar | Scopus

Featured Publications

1. Genetically transformed root extracts of medicinal plant Sida acuta Burm.f. attenuate hyperglycemic effects in induced diabetic rats. (2025). Plant Cell, Tissue and Organ Culture.

2. Validation of PCR amplicon-based directed amplified minisatellite DNA (DAMD) markers for analysis of population structure and fruit trait association of promising Indian mangoes. (2025). Genetic Resources and Crop Evolution.

3. Hexavalent chromium bioaccumulation mediated enhancement of pyrethrin production in African marigold (Tagetes erecta L.): a promising plant for phytoremediation. (2023). Acta Physiologiae Plantarum.

4. Silver nanocrystals bio-fabricated using Rhizobium rhizogenes-transformed in vitro root extracts demonstrate health proactive properties. (2022). Bionanoscience.

5. Anthropogenic interventions regulate forest structure and carbon stock in transitional dry forests of Similipal Biosphere Reserve, India. (2022). Ecoscience.

Premalatha S | Neuroscience | Best Researcher Award

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Dr. Premalatha S | Neuroscience | Best Researcher Award 

Assistant Professor | Karpagam College of Engineering | India

Dr. S. Premalatha is currently serving as an Assistant Professor in the Science and Humanities Department at Karpagam College of Engineering, Coimbatore, Tamil Nadu, India. She completed her M.Phil. in Mathematics in 2016 at Bharathiar University, Coimbatore, and earned her Ph.D. in 2025 from the same institution, demonstrating a sustained commitment to advancing mathematical research. Her key research areas include Neural Networks, Differential Equations, and the theoretical and applied aspects of memristive inertial neural networks (MINNs), with a particular focus on stability, synchronization, dissipativity analyses, and reduced-order modeling of complex dynamical systems. Over the years, Dr. Premalatha has published six high-impact research articles in reputed SCI and Scopus-indexed journals, significantly contributing to the understanding of nonlinear neural network behaviors and secure communication frameworks. Her work has been cited widely, reflecting her growing influence in the field, with a citation index of 143. She is an active member of professional bodies such as ISTE, and her dedication to academic excellence has earned her nominations for awards including the Best Researcher Award, Women Research Award, Young Scientist Award, and Best Paper Award. While she has not yet held formal editorial roles, her publications have contributed to shaping contemporary research directions in neural network theory and applied mathematics, and she continues to mentor and inspire the next generation of engineers and mathematicians through her teaching and scholarly endeavors.

Profile: Google Scholar

Featured Publications

1. Rakkiyappan, R., Premalatha, S., Chandrasekar, A., & Cao, J. (2016). Stability and synchronization analysis of inertial memristive neural networks with time delays.

2. Rajan, R., Gandhi, V., Soundharajan, P., & Joo, Y. H. (2020). Almost periodic dynamics of memristive inertial neural networks with mixed delays.

3. Premalatha, S., Santhosh Kumar, S., & Jayanthi, N. (2022). Results on periodicity of memristive inertial neural networks with mixed delays. International Conference on Data Analytics and Computing.

4. Premalatha, S. S. K., Shanmugapriya, M. M., & Jayanthi, N. (2025). Dissipativity analysis of memristive inertial neural networks with time-varying and distributed delay via reduced order strategy.

5. Premalatha, S. S. K., Indumathi, P., & Aarthi, D. (2025). LMI approach to dissipative of memristive inertial neural networks with time-varying and distributed delay. Advances in Nonlinear Variational Inequalities.

Milad Rahimzadegan | Pharmacology | Best Academic Researcher Award

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Assist. Prof. Dr. Milad Rahimzadegan | Pharmacology | Best Academic Researcher Award

Assistant Professor | Shahid Beheshti University of Medical Sciences | Iran

Dr. Milad Rahimzadegan is an Assistant Professor at the Functional Neurosurgery Research Center, Shahid Beheshti University of Medical Sciences, and serves as R&D Manager in multiple pharmaceutical companies. He earned his PhD in Pharmacy-Toxicology and Pharmacology from Tehran University of Medical Sciences, followed by an M.Sc. in Medical Toxicology from Tarbiat Modares University, and a B.A. in Plant Medicine from the University of Tehran. Recently, he completed a post-doctoral fellowship focused on Artificial Intelligence in Neuroscience at the Functional Neurosurgery Research Center. Dr. Rahimzadegan’s research spans neuropharmacology, neurotoxicology, regenerative medicine, and advanced drug delivery systems, with particular emphasis on stem cell differentiation, conductive scaffolds for spinal cord injury, and nano-biosensing for cardiovascular and neurodegenerative diseases. He has authored numerous high-impact publications in journals including Stem Cell Reviews and Reports, International Journal of Biological Macromolecules, Materials Science & Engineering C, and Carbohydrate Polymers, and has contributed to multiple books on pharmacology, regenerative medicine, and neurosurgery. His work has been recognized with awards such as the Top Academic Secretary of USERN Iran, Young Scientific Award at Shahid Beheshti University, and membership in Iran’s National Elites Foundation. In addition to his research contributions, he serves as a reviewer and editorial board member for journals including Interventional Pain Medicine and Neuromodulation and International Clinical Neuroscience Journal, reflecting his commitment to advancing scientific knowledge and fostering innovation in neuroscience, pharmacology, and translational medicine. He has 326 citations from 26 documents with an h-index of 11.

Profiles: Google Scholar | Scopus | ORCID

Featured Publications

1. Rahimzadegan, M., & Soodi, M. (2018). Comparison of memory impairment and oxidative stress following single or repeated doses administration of scopolamine in rat hippocampus.

2. Asl, S. K., & Rahimzadegan, M. (2022). The recent progress in the early diagnosis of acute myocardial infarction based on myoglobin biomarker: Nano-aptasensors approaches.

3. Malek-Khatabi, A., Razavi, M. S., Abdollahi, A., & Rahimzadeghan, M., et al. (2023). Recent progress in PLGA-based microneedle-mediated transdermal drug and vaccine delivery.

4. Asl, S. K., Rahimzadegan, M., & Asl, A. K. (2024). Progress in cardiac tissue engineering and regeneration: Implications of gelatin-based hybrid scaffolds.

5. Asl, S. K., Rahimzadegan, M., & Ostadrahimi, R. (2024). The recent advancement in the chitosan hybrid-based scaffolds for cardiac regeneration after myocardial infarction.

Miguel Garcia-Gonzalez | Translational Research | Innovative Research Award

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Dr. Miguel Garcia-Gonzalez | Translational Research | Innovative Research Award

Research group leader | FIDIS/IDIS | Spain

Dr. Miguel García González is a distinguished biomedical researcher and Group Leader at the Instituto de Investigación Sanitaria de Santiago (IDIS/CHUS) in Spain, specializing in Molecular Genetics and Developmental Biology of Kidney Diseases. He earned his Ph.D. in Molecular Biology from the University of Santiago de Compostela, where he developed a strong foundation in genetics, molecular mechanisms, and translational nephrology. His research focuses on understanding the genetic and molecular bases of polycystic kidney disease (PKD) and related hereditary disorders, integrating genomic, cellular, and developmental biology approaches to identify novel therapeutic targets. Dr. García González has authored more than 40 peer-reviewed publications in high-impact journals such as Nature Medicine, PNAS, Kidney International, and Human Molecular Genetics, contributing significantly to the field’s understanding of renal pathophysiology. His work has received numerous national and international research grants and awards, recognizing his excellence in scientific innovation and mentorship. He actively participates in editorial and peer-review roles for several leading journals in nephrology and molecular biology, further influencing the direction of biomedical research. In addition to his research contributions, Dr. García González is deeply committed to training young scientists, supervising doctoral and postdoctoral researchers, and fostering interdisciplinary collaboration across clinical and molecular domains. His pioneering work continues to advance precision medicine approaches in nephrology, bridging basic science discoveries with clinical applications aimed at improving outcomes for patients with genetic kidney diseases. He has 1913 citations from 50 documents with an h-index of 20.

Profiles: Google Scholar | Scopus | ORCID

Featured Publications

1. A comparative proteomic, transcriptomic and glycomic analysis of extracellular vesicle isolation techniques highlights ExoGAG efficiency for a more complete identification of breast milk molecular signaling pathways. (2025). Cell Communication and Signaling.

2. Therapeutic opportunities in polycystic kidney and liver disease through extracellular matrix dynamics. (2025). Biochemical Pharmacology.

3. Characterization of recurrent UMOD variants (p.C255Y and p.Q316P) in a Galician cohort: Genotype–phenotype correlation and clinical implications. (2025). Nefrología.

4. Characterization of the functional component in human milk and identification of the molecular mechanisms undergoing prematurity. (2025). Clinical Nutrition.

5. HNF1B transcription factor: Key regulator in renal physiology and pathogenesis. (2025).

Suresh Arumugam | Infectious Diseases | Best Researcher Award

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Dr. Suresh Arumugam | Infectious Diseases | Best Researcher Award

Scientist | Meenakshi Medical College Hospital and Research Institute | India

Dr. A. Suresh is a distinguished microbiologist and currently serves as Scientist cum Research Coordinator at the Central Research Laboratory, Meenakshi Medical College Hospital & Research Institute, Kanchipuram, with over 17 years of academic experience and 9 years of corporate expertise. He holds a Ph.D. in Microbiology from the University of Madras, an M.Phil. in Biotechnology from Bharathidasan University, and an M.Sc. in Applied Microbiology from Sri Sankara Arts and Science College under the University of Madras. His primary research areas span infectious diseases, antimicrobial resistance, natural product-based drug discovery, and genome annotation, where he has significantly contributed through genomic data submissions, innovative patents, and translational studies. Dr. Suresh has authored and co-authored more than 70 peer-reviewed publications in high-impact journals including the Journal of Medical Virology, Molecular Biology Reports, Drug Delivery Science and Technology, and Luminescence, highlighting his multidisciplinary expertise across microbiology, biotechnology, and clinical research. His scientific contributions have been recognized through several awards, including distinctions for innovation in natural product drug discovery and his leadership in antimicrobial stewardship. Beyond his research, Dr. Suresh has played a pivotal role as Ph.D. supervisor, doctoral committee member, and academic coordinator, mentoring young researchers and advancing scientific education. He also contributes to the wider scientific community as an editorial board member and peer reviewer for reputed international journals, ensuring the dissemination of high-quality research. Dr. Suresh’s career embodies a balance of scientific discovery, innovation, and academic mentorship, positioning him as a thought leader in microbiology and drug discovery research. He has 360 citations from 68 documents with an h-index of 8.

Profiles: Google Scholar | Scopus | ORCID

Featured Publications

1. Mohan, K., Srinivasan, S., Selvaraj, S., Suresh, A., & Krishnamoorthy, A. (2025). A study on dengue infection, seroprevalence and its seasonal distribution among patients attending a tertiary care hospital, Kanchipuram, India. Journal of Applied Pharmaceutical Science.

2. Kaliaperumal, K., Aboobacker, J., Dhanapal, V., Gayathri, A., Subramanian, K., Suresh, A., Elumalai, S., Sampath, S., Devanesan, S., AlSalhi, M. S., et al. (2025). Bioremediation of malachite green dye using Sargassum wightii seaweed and its biological and physicochemical characterization. Open Chemistry.

3. Kamalanathan, J., Suresh, M. S., Rajendran, V., AlSalhi, M., Devanesan, S., Suresh, A., Joseph, J., & Sampath, S. (2025). Nuclear staining and fluorogenic probe–based evaluation of ROS-cytotoxic potential using AgNPs synthesized from Cajanus trinervius against A431 cell line. Luminescence.

4. Suresh, A., Muninathan, N., Sampath, S., Devanesan, S., AlSalhi, M. S., & Manoj, D. (2025). Role of traditional and new biomarkers in the assessment of chronic kidney diseases: A comprehensive analysis of the biochemical, molecular and clinical dimensions. Molecular Biology Reports.

5. Rajeswari, M. V., Suresh, A., Thirumalaikumar, E., Subramanian, K., Kaliaperumal, K., Sampath, S., Devanesan, S., & AlSalhi, M. S. (2025). Efficacy of chitosan conjugated bivalent vaccine on immune response and disease resistance against Aeromonas hydrophila and Aeromonas caviae in goldfish (Carassius auratus). Journal of Drug Delivery Science and Technology.

6. Christina, B., Poongkuzhali, S., Muninathan, N., Bhaskaran, K., & Suresh, A. (2025). The mechanisms and therapeutic potential of the microbiome-immune interface in cancer. Discover Biotechnology.