26 citations · 42 across the 13 of their papers we have counts for
15 papers
Hybrid quantum-classical attention for histopathology-based molecular profiling in data-limited cancers
Kahn Rhrissorrakrai, Aritra Bose, Aldo Guzman-Saenz +3
Molecular profiling from routine histopathology could expand access to precision oncology when sequencing is unavailable, tissue is limited, or training cohorts are small. We devel…
Quantum Kernel Estimation for the Discovery of Early Lung Cancer Detection
Hamed Javidi, Alex Zajichek, Hakan Doga +3
Lung cancer screening with low-dose chest computed tomography reduces mortality, but its impact is limited by uptake, adherence, and management challenges. Blood-based cell-free DN…
A Quantum Reservoir for Neurodynamical Forecasting
Annemarie Wolff, Kathleen Hamilton, Kahn Rhrissorrakrai +3
Forecasting neural activity from short recordings remains a fundamental challenge. Reservoir computing may offer an efficient paradigm for temporal prediction, however classical re…
Experimental implementation of a discrete-time quantum walk on biological networks
Viacheslav Dubovitskii, Filippo Utro, Aritra Bose +3
Quantum walks provide a versatile framework for probing the structural and dynamical properties of complex systems ranging from biological networks to synthetic materials. However,…
Data complexity signature predicts quantum projected learning benefit for antibiotic resistance
Kahn Rhrissorrakrai, Filippo Utro, Alex Milinovich +4
This study presents the first large-scale empirical evaluation of quantum machine learning for predicting antibiotic resistance in clinical urine cultures. Antibiotic resistance is…
Enhanced Prediction of CAR T-Cell Cytotoxicity with Quantum-Kernel Methods
Filippo Utro, Meltem Tolunay, Kahn Rhrissorrakrai +6
Chimeric antigen receptor (CAR) T-cells are T-cells engineered to recognize and kill specific tumor cells. Through their extracellular domains, CAR T-cells bind tumor cell antigens…
Quantum Ensembling Methods for Healthcare and Life Science
Kahn Rhrissorrakrai, Kathleen E. Hamilton, Prerana Bangalore Parthsarathy +4
Learning on small data is a challenge frequently encountered in many real-world applications. In this work we study how effective quantum ensemble models are when trained on small…
On Quantum Random Walks in Biomolecular Networks
Viacheslav Dubovitskii, Aritra Bose, Filippo Utro +1
Biomolecular networks, such as protein-protein interactions, gene-gene associations, and cell-cell interactions, offer valuable insights into the complex organization of biological…
Quantum machine learning framework for longitudinal biomedical studies
Maria Demidik, Filippo Utro, Alexey Galda +3
Longitudinal biomedical studies play a vital role in tracking disease progression, treatment response, and the emergence of resistance mechanisms, particularly in complex disorders…
Quantum Doubly Stochastic Transformers
Jannis Born, Filip Skogh, Kahn Rhrissorrakrai +3
At the core of the Transformer, the softmax normalizes the attention matrix to be right stochastic. Previous research has shown that this often de-stabilizes training and that enfo…
How quantum computing can enhance biomarker discovery
Frederik F. Flöther, Daniel Blankenberg, Maria Demidik +7
Biomarkers play a central role in medicine's gradual progress towards proactive, personalized precision diagnostics and interventions. However, finding biomarkers that provide very…
Probing omics data via harmonic persistent homology
Davide Gurnari, Aldo Guzmán-Sáenz, Filippo Utro +3
Identifying molecular signatures from complex disease patients with underlying symptomatic similarities is a significant challenge in the analysis of high dimensional multi-omics d…
Towards quantum-enabled cell-centric therapeutics
Saugata Basu, Jannis Born, Aritra Bose +30
In recent years, there has been tremendous progress in the development of quantum computing hardware, algorithms and services leading to the expectation that in the near future qua…
The Chromatin Organization of an Eukaryotic Genome : Sequence Specific+ Statistical=Combinatorial (Extended Abstract)
Davide Corona, Valeria Di Benedetto, Raffaele Giancarlo +1
Nucleosome organization in eukaryotic genomes has a deep impact on gene function. Although progress has been recently made in the identification of various concurring factors influ…
Algorithms for Internal Validation Clustering Measures in the Post Genomic Era
Filippo Utro
Inferring cluster structure in microarray datasets is a fundamental task for the -omic sciences. A fundamental question in Statistics, Data Analysis and Classification, is the pred…