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Alfonso Monaco

Showing results (61-70 of 69) with videos related to

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Bioengineering (Basel, Switzerland)|June 26, 2026
A Brain Connectivity Approach to Detect Diffusion-Weighted Imaging Changes in Post-Traumatic EpilepsyEmanuele C Amato, Claudia Giliberti, Nicola Amoroso, et al.
Plos One|November 13, 2025
Unveiling complex patterns: An information-theoretic approach to high-order behaviors in microarray dataAntonio Lacalamita, Alfonso Monaco, Grazia Serino, et al.
Scientific Reports|October 3, 2023
An eXplainable Artificial Intelligence analysis of Raman spectra for thyroid cancer diagnosisLoredana Bellantuono, Raffaele Tommasi, Ester Pantaleo, et al.
Brain Imaging and Behavior|March 4, 2020
The interaction between cannabis use and a CB1-related polygenic co-expression index modulates dorsolateral prefrontal activity during working memory processingPaolo Taurisano, Giulio Pergola, Anna Monda, et al.
Science Advances|April 14, 2023
Consensus molecular environment of schizophrenia risk genes in coexpression networks shifting across age and brain regionsGiulio Pergola, Madhur Parihar, Leonardo Sportelli, et al.
Biological Psychiatry. Cognitive Neuroscience and Neuroimaging|November 24, 2023
A miR-137-Related Biological Pathway of Risk for Schizophrenia Is Associated With Human Brain Emotion ProcessingGiulio Pergola, Antonio Rampino, Leonardo Sportelli, et al.
Cell Reports. Medicine|December 22, 2023
Microbiome preterm birth DREAM challenge: Crowdsourcing machine learning approaches to advance preterm birth researchJonathan L Golob, Tomiko T Oskotsky, Alice S Tang, et al.
Medrxiv : the Preprint Server for Health Sciences|March 22, 2023
Microbiome Preterm Birth DREAM Challenge: Crowdsourcing Machine Learning Approaches to Advance Preterm Birth ResearchJonathan L Golob, Tomiko T Oskotsky, Alice S Tang, et al.
Cell Reports. Medicine|November 8, 2025
Microbiome preterm birth DREAM challenge: Crowdsourcing machine learning approaches to advance preterm birth researchJonathan L Golob, Tomiko T Oskotsky, Alice S Tang, et al.
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Showing results (61-70 of 69) with videos related to

Sort By:
Pageof 7
You have reached the last page of results.This site can display upto 69 results.
Bioengineering (Basel, Switzerland)|June 26, 2026
A Brain Connectivity Approach to Detect Diffusion-Weighted Imaging Changes in Post-Traumatic EpilepsyEmanuele C Amato, Claudia Giliberti, Nicola Amoroso, et al.
Plos One|November 13, 2025
Unveiling complex patterns: An information-theoretic approach to high-order behaviors in microarray dataAntonio Lacalamita, Alfonso Monaco, Grazia Serino, et al.
Scientific Reports|October 3, 2023
An eXplainable Artificial Intelligence analysis of Raman spectra for thyroid cancer diagnosisLoredana Bellantuono, Raffaele Tommasi, Ester Pantaleo, et al.
Brain Imaging and Behavior|March 4, 2020
The interaction between cannabis use and a CB1-related polygenic co-expression index modulates dorsolateral prefrontal activity during working memory processingPaolo Taurisano, Giulio Pergola, Anna Monda, et al.
Science Advances|April 14, 2023
Consensus molecular environment of schizophrenia risk genes in coexpression networks shifting across age and brain regionsGiulio Pergola, Madhur Parihar, Leonardo Sportelli, et al.
Biological Psychiatry. Cognitive Neuroscience and Neuroimaging|November 24, 2023
A miR-137-Related Biological Pathway of Risk for Schizophrenia Is Associated With Human Brain Emotion ProcessingGiulio Pergola, Antonio Rampino, Leonardo Sportelli, et al.
Cell Reports. Medicine|December 22, 2023
Microbiome preterm birth DREAM challenge: Crowdsourcing machine learning approaches to advance preterm birth researchJonathan L Golob, Tomiko T Oskotsky, Alice S Tang, et al.
Medrxiv : the Preprint Server for Health Sciences|March 22, 2023
Microbiome Preterm Birth DREAM Challenge: Crowdsourcing Machine Learning Approaches to Advance Preterm Birth ResearchJonathan L Golob, Tomiko T Oskotsky, Alice S Tang, et al.
Cell Reports. Medicine|November 8, 2025
Microbiome preterm birth DREAM challenge: Crowdsourcing machine learning approaches to advance preterm birth researchJonathan L Golob, Tomiko T Oskotsky, Alice S Tang, et al.
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