Conference Information

CAMS 2026: International Conference on Clinical and Medical Sciences

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Submission Date:
2026-09-06 Due in 3 days
Notification Date:
2026-09-29
Conference Date:
2026-10-30
Location:
Online
Years:
4
Viewed: 25   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

41.9 / 100
Ranked #4,520 of 5,647 conferences · Top 81%

#147 of 182 in Bioinformatics & Health Informatics

Academic recognition (35%) No data - scored at the neutral baseline of 50
Submission selectivity (20%) No data - scored at the neutral baseline of 50
Editions held (20%)
43
Community attention (10%)
5
Public record completeness (15%)
35

Inputs used: Editions on record: 4 · Researchers who opened this page in the past 24 months: 1

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-03

Call For Papers

CAMS 2026 (International Conference on Clinical and Medical Sciences) is an academic conference held in Online on 2026-10-30. The paper submission deadline is 2026-09-06. Acceptance notifications are sent on 2026-09-29.

SCOPE 4th International Conference on Clinical and Medical Sciences (CAMS 2026) Will provide an excellent knowledge. The goal of the conference is to reach researchers and practitioners from academia and industry to focus on understanding advances in Medical Sciences and establishing new collaborations in these areas. The aim of the conference is to provide a platform to the researchers and both academia and industry to meet and also to share the development in this field. Only original research papers are invited for the publication. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to: Topics of interest Clinical Medicine and Medical Specialties Cardiovascular Medicine and Hematology Oncology, Cancer Biology and Carcinogenesis Cancer Genomics, Tumor Evolution and Precision Oncology Liquid Biopsy and Early Cancer Detection Neurology, Neurosciences and Neurosurgery Cognitive Decline, Dementia and Alzheimer Research Respiratory Medicine and Pulmonary Therapy Paediatrics, Obstetrics and Reproductive Medicine Urology and Nephrology Gastroenterology and Hepatology Endocrinology, Diabetes and Metabolic Disorders Dermatology and Skin Sciences Orthopaedics, Sports Medicine and Human Movement Science Ophthalmology and Optometry Dentistry and Oral Health Sciences Nursing, Midwifery and Clinical Practice Occupational Medicine and Rehabilitation Biomedical Sciences, Molecular Medicine and Translational Research Medical Physiology, Human Physiology and Systems Biology Medical Biochemistry and Molecular Medicine Medical Genetics, Genomics and Precision Medicine Single Cell Omics, Spatial Transcriptomics and Multi Omics Integration Spatial Proteomics, Spatial Multi Omics and Tissue Mapping CRISPR, Gene Editing and Gene Therapy Organoid Models and Lab Grown Tissue Systems AI Driven Protein Design and Structural Biology Medical Cell Biology, Stem Cells and Regenerative Medicine Immunology, Autoimmunity and Immune Therapeutics Immunometabolism and Immune System Aging Medical Microbiology, Infectious Diseases and Antimicrobial Resistance Medical Virology and Emerging Viral Threats Microbiome Science, Gut–Brain Axis and Host–Microbe Interactions Pathology, Digital Pathology and Molecular Diagnostics Tissue Engineering, Regenerative Medicine and Embryology Metabolomics, Proteomics and Systems Omics Medicinal Chemistry and Drug Discovery Pharmacology, Clinical Pharmacology and Therapeutics Pharmaceutical Sciences and Advanced Drug Delivery Systems Nanomedicine, Nano Drug Delivery and Theranostics Cell and Gene Therapies (CAR T, CAR NK, AAV) Clinical Data, AI Driven Medicine and Health Informatics Clinical Data Analysis, Clinical Decision Support and Predictive Modeling Biomedical Intelligence, AI Driven Diagnostics and Clinical AI Safety Multimodal Clinical AI (Imaging + Genomics + EHR) Clinical Foundation Models (Med LLMs, Med Vision FMs) Medical Imaging, Radiology and Foundation Models for Imaging Radiomics, Deep Imaging and Image Based Biomarkers Clinical NLP, EHR Mining and Medical Text Intelligence Digital Health, Telemedicine and Remote Patient Monitoring Electronic Health Records, Interoperability and Health Data Engineering Wearables, Biosensors and Mobile Health Technologies Medical Robotics, Surgical Robotics and Autonomous Systems AI for Drug Discovery, Biomarker Discovery and Therapeutic Targeting AI Driven Clinical Workflow Automation Medical Device AI Integration and Real World Deployment Computational Medicine, Digital Twins and Simulation Based Healthcare Public Health, Epidemiology and Global Medicine Public Health, Global Health and Health Services Epidemiology, Disease Surveillance and Outbreak Analytics AI Enhanced Epidemiological Modeling Pandemic Preparedness and Emerging Infectious Threats Health Policy, Healthcare Management and Clinical Governance Nutrition, Dietetics and Metabolic Health Precision Nutrition and Metabolic Phenotyping Metabolic Health, Obesity and Lifestyle Medicine Mental Health, Psychiatry and Behavioral Medicine Environmental Health, Climate Health and Occupational Safety Urban Health, Smart Cities and Population Level Sensing Global Health Equity and Social Determinants of Health Complementary and Alternative Medicine (Evidence Based) Global Antimicrobial Resistance (AMR) Surveillance Medical Statistics, Research Methods and Emerging Areas Medical Statistics, Biostatistics and Clinical Trial Design AI Driven Clinical Trial Optimization Evidence Based Medicine, Meta Analysis and Systematic Reviews Ethics, Bioethics and Responsible Clinical AI Clinical AI Red Teaming and Safety Stress Testing Medical Device Regulation, Digital Therapeutics and Compliance Data Privacy, Security and Confidential Computing in Healthcare Federated Learning, Health Data Trust and Secure Collaboration Precision Public Health and Population Level Modeling Recent Trends, Breakthroughs and Future Directions in Clinical Medicine
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