Conference Information

CTBS 2026: International Conference on Computer Technology and Biomedical Science

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Submission Date:
2026-07-31
Notification Date:
2026-08-09
Conference Date:
2026-08-14
Location:
Beijing, China
Viewed: 1359   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

44.5 / 100
Ranked #3,028 of 5,693 conferences · Top 54%

#81 of 184 in Bioinformatics & Health Informatics

Limited evidence: this conference is not listed in CCF / ICORE / QUALIS and has no acceptance-rate data on file, so most of the score falls back to the neutral baseline.
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%) No data - scored at the neutral baseline of 50 —
Community attention (10%)
17
Public record completeness (15%)
35

Inputs used: Researchers who opened this page in the past 24 months: 9

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 25% - 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 2026-10-03

Call For Papers

CTBS 2026 (International Conference on Computer Technology and Biomedical Science) is an academic conference held in Beijing, China on 2026-08-14. The paper submission deadline is 2026-07-31. Acceptance notifications are sent on 2026-08-09.

The topics of interest for submission include, but are not limited to: Track 1: Artificial Intelligence and Machine Learning in Biomedicine Medical image analysis Genomic data mining Deep learning in life sciences Predictive modeling and disease risk assessment Biomedical natural language processing Clinical decision support systems Multimodal medical data fusion Reinforcement learning in treatment optimization AI-assisted drug discovery Personalized patient treatment technologies Track 2: Biomedical Signal Processing and Sensing Technologies Physiological signal analysis and interpretation Multisensor data fusion Wearable medical devices Bioelectrical signal processing methods Intelligent monitoring systems Non-invasive detection technologies Remote health monitoring Signal noise reduction and feature extraction Mobile health sensor applications Biofeedback system design Track 3: Medical Image Processing and Computer Vision Medical image reconstruction and enhancement Multimodal medical image analysis Computer-aided diagnosis (CAD) 3D medical image modeling Image segmentation and annotation techniques Endoscopic and ultrasound image processing Deep learning applications in medical imaging Medical image visualization and interpretation Virtual reality and augmented reality in medicine Medical image big data management Track 4: Bioinformatics and Genomic Computing Genome sequence analysis Protein structure and function prediction Systems biology and network analysis Biomedical big data management and mining Transcriptomics and epigenomics data analysis Computational pharmacology and drug design Evolutionary biology computational methods Multi-omics data integration Biomarker discovery Metabolic pathway simulation Track 5: Medical Information Systems and Health Big Data Electronic health record (EHR) systems Medical data security and privacy protection Big data analytics and data mining techniques Smart hospitals and intelligent management systems Clinical text mining Clinical decision support systems Medical blockchain technologies Public health data analysis Health information interoperability Medical service process optimization Track 6: Robotics and Intelligent Devices in Medicine Surgical robots Rehabilitation robots and assistive devices Intelligent medical device design Robot perception and navigation Human-computer interaction technologies Remote medical robotics Automated drug dispensing systems Smart prosthetics and implantable devices Medical robot safety and ethics Robot-assisted diagnosis and therapy
Last updated by Dou Sun on

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