Area of research
Oncology · Pulmonary and Respiratory Medicine
Research interest
Research interests include Lung Cancer Research Studies, Lung Cancer Treatments and Mutations, Cancer Immunotherapy and Biomarkers, and Lung Cancer Diagnosis and Treatment.
Ivonescimab combined with chemotherapy in patients with EGFR-mutant non-squamous non-small cell lung cancer who progressed on EGFR tyrosine-kinase inhibitor treatment (HARMONi-A): A randomized, double-blind, multi-center, phase 3 trial.
MA18.03 Preliminary Safety and Treatment Data of A Phase 3 Trial: Hypofractionated vs Conventional Fractionated Concurrent Chemoradiation for LS-SCLC
Early on-treatment tumor growth rate (EOT-TGR) determines treatment outcomes of advanced non-small-cell lung cancer patients treated with programmed cell death protein 1 axis inhibitor
OA 16.04 Efficacy and Safety of Erlotinib vs Vinorelbine/Cisplatin as Adjuvant Therapy for Stage IIIA EGFR Mutant NSCLC Patients
Ratio of C-Reactive Protein/Albumin is An Inflammatory Prognostic Score for Predicting Overall Survival of Patients with Small-cell Lung Cancer
The prognostic nutritional index (PNI) predicts overall survival of small-cell lung cancer patients
Collaborative Research: Ideas Lab: Breaking Low: DRIVE-SAFE: Remote and Cooperative Autonomous Driving in Dynamic Environments using 5G/NextG Technology
Travel: Student Support for SDM 2025 (SIAM International Conference on Data Mining)
Collaborative Research: CISE MSI: RDP: III: Towards Robust and Human-Aligned Deep Learning for Medical-Sensor Time Series
Collaborative Research: CISE: Large: Integrated Networking, Edge System and AI Support for Resilient and Safety-Critical Tele-Operations of Autonomous Vehicles
CNS Core:Medium: NFLambda -- A Granular, Scalable and Secure NFV Framework for High Performance Packet Processing at 100 Gbps and Beyond
Collaborative Research:SWIFT: Exploiting Application Semantics in Intelligent Cross-Layer Design to Enhance End-to-End Spectrum Efficiency
CNS Core: Medium: Collaborative: Exploring and Exploiting Learning for Efficient Network Control: Non-Stationarity, Inter-Dependence, and Domain-Knowledge
SCC: Leveraging Autonomous Shared Vehicles for Greater Community Health, Equity, Livability, and Prosperity (HELP)
ICE-T:RC: Accelerating NFV Service Function Chain Processing at Scale
NeTS: Small: Collaborative Research: Lightweight Adaptive Algorithms for Network Optimization at Scale towards Emerging Services
NeTS: Small: Exerting Logically Centralized Control over Legacy Switches via Incremental SDN Deployment
NeTS: Small: Diverse and Resilient Beyond Paths
NeTS: Large: Collaborative Research: Complex Interactions in the Content Distribution Ecosystem
NeTS: Small: Understanding, Managing and Trouble-Shooting the Evolving Cellular Data Networks
NeTSE: Small: Spatio-Temporal Network Traffic Dynamics and Interactions of Social-Technical Networks
NeTS: Small: VIRO: Highly Scalable, Robust and Namespace Independent Routing for Future Networks
Modeling and Identification of multi-joint arm dynamics post stroke
CAREER: Categorical Shape Reconstruction
NeTS: Medium: Collaborative Research: Towards Versatile and Programmable Measurement Architecture for Future Networks
Collaborative Research: FIND - On the Economic Viability of Network Architectures
CRI: IAD Research Infrastructure for Emerging Networked Systems and Applications