Presenter: Sarvesh Amatya
Affiliation: Alexander Dreyfoos School of the Arts, United States
Presentation Type: Oral Presentation (Virtual)
Title: Precision Glioma Grading Using Voting-Based Feature Selection and Ensemble Machine Learning with Clinical and Molecular Data
🔬 Presentation Highlights
∙ Clinical Challenge: Around 80,000 primary brain tumor cases are diagnosed annually in the U.S., with gliomas accounting for nearly 25%. Survival ranges dramatically—from 16 years (low-grade) to 8 months (glioblastoma multiforme).
∙ WHO 2021 Update: The revised classification by the World Health Organization emphasizes molecular profiling for accurate glioma diagnosis and treatment planning.
∙ Problem: Expanding molecular mutation panels (20+ markers) increase diagnostic costs and resource burden.
∙ Innovative Approach: Implementation of a voting-based feature selection framework integrating seven complementary feature selection techniques using TCGA glioma datasets.
∙ Advanced Analytics: Evaluation through an ensemble of six machine-learning classifiers, generating 171 ensemble configurations including hard voting, soft voting, and stacking strategies.
∙ Key Findings:
Reduced optimal feature set from 23 to 8 key molecular & clinical variables (vs. 14 selected by Lasso).
Achieved high predictive accuracy (up to 0.882) using stacking ensembles (SVM+SGD, AdaBoost+SVM+SGD).
Maintained diagnostic performance while significantly improving feature efficiency.
∙ Impact: Enables cost-effective, high-accuracy glioma grading, improving accessibility and healthcare equity while minimizing unnecessary molecular testing.
🎤 Why This Matters
This research bridges computational intelligence and clinical oncology, offering a scalable, cost-efficient solution for molecular brain tumor classification—paving the way toward precision medicine with broader global accessibility.
🔗 Join the Conference
Event: International Conference on Neurology and Neuroscience
📅 March 23–25, 2026
📍 Singapore & Online
🌐 Website: https://neurocareconference.com/
🧬 Submit Abstract: https://neurocareconference.com/abstract-submission
📝 Register: https://neurocareconference.com/register
Be part of groundbreaking discussions shaping the future of neurology, neuroscience, and AI-driven diagnostics!
#Neurology #Neuroscience #GliomaResearch #BrainTumor #MachineLearningInMedicine #PrecisionMedicine #MedicalAI #EnsembleLearning #ClinicalResearch #NeuroOncology #HealthcareInnovation #BrainCancerResearch #SingaporeConference #NeuroCare2026 #GlobalHealthcare
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