Paola Ruiz Puentes

Early Prediction of MMSE & CSI‐D Scores with AI

Daniel Crovo, Paola Ruiz Puentes, Néstor F. González García, Pablo Arbeláez et autres

BACKGROUND: We use Llama a LLM to predict MMSE and CSI-D scores using socio economic data. The growing global burden of dementia needs improved early detection methods that account for diverse socioeconomic factors. While traditional machine learning approaches have been applied to …

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AI in the drug discovery pipeline

Néstor F. González García, Paola Ruiz Puentes, Diego A. Rodríguez‐Soacha, Daniel Crovo et autres

BACKGROUND: Scientists spend vast amounts of resources and time to produce safe and effective treatments across a large range of diseases and symptoms. Often, 3 or more years are spent in drug discovery for compound screening and lead optimization. We show an …

Multimodal Interpretable Transformer for AD

Paola Ruiz Puentes, Néstor F. González García, Daniel Crovo, Felipe Sánchez Mejía et autres

BACKGROUND: Artificial intelligence (AI) has significantly improved diagnostic accuracy in fields such as cancer, diabetes, and cardiopulmonary disease. It holds similar promise for Alzheimer's disease (AD), where underdiagnosis remains a major challenge (false negatives = 11.9%). Addressing this requires models trained on …

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Artificial intelligence for the discovery of antimicrobial peptides

Paola Ruiz Puentes, Pablo Arbeláez

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Contributors

Rigel Valentin Gómez Acata, Maria Priscila Almario, Oscar Álvarez, Valentina Andrade-Pérez et autres

Computational tools for handling large databases of biological relevance

Paula Andrea Betancourt Cárdenas, Juanita Puentes, Paola Ruiz Puentes, Pablo Arbeláez

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Towards Automated Petrography

Isai Daniel Chacón, Paola Ruiz Puentes, Jillian Pearse, Pablo Arbeláez

Petrography is a branch of geology that analyzes the mineralogical composition of rocks from microscopical thin section samples. It is essential for understanding rock properties across geology, archaeology, engineering, mineral exploration, and the oil industry. However, petrography is a labor-intensive task requiring …

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Unraveling the complexities of educational and socioeconomic factors in cognitive decline with an AI model

Paola Ruiz Puentes, N. Felix- Gonzalez, Daniel Crovo, Beatriz Grimaldi et autres

Abstract Background High formal education level is widely recognized as a protective factor against cognitive decline, influenced by the reserve hypothesis. However, in multiple studies educational experience is confounded with cultural and socioeconomic factors, leading to contradictory findings. Factors such as an …

Ego4D: Around the World in 3,600 Hours of Egocentric Video

Kristen Grauman, Andrew Westbury, Eugene H. Byrne, Vincent Cartillier et autres

We introduce Ego4D, a massive-scale egocentric video dataset and benchmark suite. It offers 3,670 hours of daily-life activity video spanning hundreds of scenarios (household, outdoor, workplace, leisure, etc.) captured by 931 unique camera wearers from 74 worldwide locations and 9 different countries. …

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Cognitive load in tele-robotic surgery: a comparison of eye tracker designs

Roger D. Soberanis-Mukul, Paola Ruiz Puentes, Ayberk Acar, Iris Gupta et autres

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Eye tracking for tele-robotic surgery: a comparative evaluation of head-worn solutions

Regine Büter, Roger D. Soberanis-Mukul, Paola Ruiz Puentes, Ahmed Ghazi et autres

Purpose: Metrics derived from eye-gaze-tracking and pupillometry show promise for cognitive load assessment, potentially enhancing training and patient safety through user-specific feedback in tele-robotic surgery. However, current eye-tracking solutions’ effectiveness in tele-robotic surgery is uncertain compared to everyday situations due to close-range …

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Improving the Temporal Accuracy of Eye Gaze Tracking for the da Vinci Surgical System through Automatic Detection of Decalibration Events and Recalibration

Regine Büter, John J. Han, Ayberk Acar, Yizhou Li et autres

Robust and accurate eye gaze tracking can advance medical telerobotics by providing complementary data for surgical training, interactive instrument control, and augmented human–robot interactions. However, current gaze tracking solutions for systems such as the da Vinci Surgical System (dVSS) are limited to …

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