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Diego Galeano

Showing results (1-10 of 16) with videos related to

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Cell Reports Methods|January 2, 2023
Machine learning prediction of side effects for drugs in clinical trialsDiego Galeano, Alberto Paccanaro
Historia, Ciencias, Saude--Manguinhos|February 16, 2017
Police, anthropometry, and fingerprinting: the transnational history of identification systems from Rio de la Plata to BrazilMercedes García Ferrari, Diego Galeano
Nature Communications|September 12, 2020
Predicting the frequencies of drug side effectsDiego Galeano, Shantao Li, Mark Gerstein, et al.
Ciencia & Saude Coletiva|November 24, 2012
[Violence-related deaths in Argentina: two case studies in the cities of Venado Tuerto and San Rafael]Hugo Spinelli, Marcio Alazraqui, Diego Galeano, et al.
Scientific Reports|March 10, 2026
RAG-based architectures for drug side effect retrieval using compact LLMsShad Nygren, Omer Erdogan, Pinar Avci, et al.
Patterns (New York, N.Y.)|November 15, 2021
Machine learning and network medicine approaches for drug repositioning for COVID-19Suzana de Siqueira Santos, Mateo Torres, Diego Galeano, et al.
Nature Communications|October 23, 2024
sChemNET: a deep learning framework for predicting small molecules targeting microRNA functionDiego Galeano, Imrat, Jeffrey Haltom, et al.
Theranostics|June 6, 2022
The interplay between lncRNAs, RNA-binding proteins and viral genome during SARS-CoV-2 infection reveals strong connections with regulatory events involved in RNA metabolism and immune responseFrancisco J Enguita, Ana Lúcia Leitão, J Tyson McDonald, et al.
Communications Biology|October 5, 2024
To boldly go where no microRNAs have gone before: spaceflight impact on risk for small-for-gestational-age infantsGiada Corti, JangKeun Kim, Francisco J Enguita, et al.
Communications Biology|October 16, 2024
Author Correction: To boldly go where no microRNAs have gone before: spaceflight impact on risk for small-for-gestational-age infantsGiada Corti, JangKeun Kim, Francisco J Enguita, et al.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
Cell Reports Methods|January 2, 2023
Machine learning prediction of side effects for drugs in clinical trialsDiego Galeano, Alberto Paccanaro
Historia, Ciencias, Saude--Manguinhos|February 16, 2017
Police, anthropometry, and fingerprinting: the transnational history of identification systems from Rio de la Plata to BrazilMercedes García Ferrari, Diego Galeano
Nature Communications|September 12, 2020
Predicting the frequencies of drug side effectsDiego Galeano, Shantao Li, Mark Gerstein, et al.
Ciencia & Saude Coletiva|November 24, 2012
[Violence-related deaths in Argentina: two case studies in the cities of Venado Tuerto and San Rafael]Hugo Spinelli, Marcio Alazraqui, Diego Galeano, et al.
Scientific Reports|March 10, 2026
RAG-based architectures for drug side effect retrieval using compact LLMsShad Nygren, Omer Erdogan, Pinar Avci, et al.
Patterns (New York, N.Y.)|November 15, 2021
Machine learning and network medicine approaches for drug repositioning for COVID-19Suzana de Siqueira Santos, Mateo Torres, Diego Galeano, et al.
Nature Communications|October 23, 2024
sChemNET: a deep learning framework for predicting small molecules targeting microRNA functionDiego Galeano, Imrat, Jeffrey Haltom, et al.
Theranostics|June 6, 2022
The interplay between lncRNAs, RNA-binding proteins and viral genome during SARS-CoV-2 infection reveals strong connections with regulatory events involved in RNA metabolism and immune responseFrancisco J Enguita, Ana Lúcia Leitão, J Tyson McDonald, et al.
Communications Biology|October 5, 2024
To boldly go where no microRNAs have gone before: spaceflight impact on risk for small-for-gestational-age infantsGiada Corti, JangKeun Kim, Francisco J Enguita, et al.
Communications Biology|October 16, 2024
Author Correction: To boldly go where no microRNAs have gone before: spaceflight impact on risk for small-for-gestational-age infantsGiada Corti, JangKeun Kim, Francisco J Enguita, et al.
Pageof 2