J. Pinto

Large language models overcome the challenges of unstructured text data in ecology

This study evaluates three large language models for automating ecological data extraction from text, finding GPT 4 performs best across tasks with high accuracy.

Unmasking Hidden Systemic Effects of Neurodegenerative Diseases: A Two-Pronged Approach to Biomarker Discovery

This paper evaluates HMW fractionation as a complementary proteomics approach to identify serum biomarkers for neurodegenerative diseases, showing improved discrimination compared to direct serum analysis.

Notes on the diet composition of Anoles lizards, Anolis (Dactyloidae), in the Yasuni National Park (Ecuador)

This study describes the diet of six Anolis lizard species in Yasuni National Park, finding Aranea and Hymenoptera as the most frequent prey categories and Hemiptera and insect larvae as the most voluminous prey.

Myofibril orientation as a metric for characterizing heart disease

This paper introduces a method to quantify myofibrillar orientation in cardiac muscle and shows it detects greater disorientation in diseased tissue compared to healthy controls.

PyPlr: A versatile, integrated system of hardware and software for researching the human pupillary light reflex

PyPlr is a system for studying the human pupillary light reflex with hardware and software that supports various stimuli and data analysis.

Speeding up the detection of invasive aquatic species using environmental DNA and nanopore sequencing

This paper develops a protocol and bioinformatic tools to improve nanopore sequencing for detecting invasive aquatic species using eDNA, demonstrating reliable detection in field samples.