Search Results - "Lio', Pietro"

Genetic Profiling and Comorbidities of Zika Infection by Moni, Mohammad Ali, Lio, Pietro

“…Summary We found that transcriptome and genome profiles of Zika virus–infected human tissues show important similarities and differences to tissues infected by…”
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AMYPred-FRL is a novel approach for accurate prediction of amyloid proteins by using feature representation learning by Charoenkwan, Phasit, Ahmed, Saeed, Nantasenamat, Chanin, Quinn, Julian M. W., Moni, Mohammad Ali, Lio’, Pietro, Shoombuatong, Watshara

“…Amyloid proteins have the ability to form insoluble fibril aggregates that have important pathogenic effects in many tissues. Such amyloidoses are prominently…”
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SAPPHIRE: A stacking-based ensemble learning framework for accurate prediction of thermophilic proteins by Charoenkwan, Phasit, Schaduangrat, Nalini, Moni, Mohammad Ali, Lio’, Pietro, Manavalan, Balachandran, Shoombuatong, Watshara

“…Thermophilic proteins (TPPs) are important in the field of protein biochemistry and development of new enzymes. Thus, computational methods must be urgently…”
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SCORPION is a stacking-based ensemble learning framework for accurate prediction of phage virion proteins by Ahmad, Saeed, Charoenkwan, Phasit, Quinn, Julian M. W., Moni, Mohammad Ali, Hasan, Md Mehedi, Lio’, Pietro, Shoombuatong, Watshara

“…Fast and accurate identification of phage virion proteins (PVPs) would greatly aid facilitation of antibacterial drug discovery and development. Although,…”
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Multi-omic analysis of signalling factors in inflammatory comorbidities by Xiao, Hui, Bartoszek, Krzysztof, Lio', Pietro

“…Inflammation is a core element of many different, systemic and chronic diseases that usually involve an important autoimmune component. The clinical phase of…”
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iBitter-Fuse: A Novel Sequence-Based Bitter Peptide Predictor by Fusing Multi-View Features by Charoenkwan, Phasit, Nantasenamat, Chanin, Hasan, Md. Mehedi, Moni, Mohammad Ali, Lio’, Pietro, Shoombuatong, Watshara

“…Accurate identification of bitter peptides is of great importance for better understanding their biochemical and biophysical properties. To date, machine…”
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Arbitrary Scale Super-Resolution for Medical Images by Zhu, Jin, Tan, Chuan, Yang, Junwei, Yang, Guang, Lio', Pietro

“…Single image super-resolution (SISR) aims to obtain a high-resolution output from one low-resolution image. Currently, deep learning-based SISR approaches have…”
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PSRTTCA: A new approach for improving the prediction and characterization of tumor T cell antigens using propensity score representation learning by Charoenkwan, Phasit, Pipattanaboon, Chonlatip, Nantasenamat, Chanin, Hasan, Md Mehedi, Moni, Mohammad Ali, Lio’, Pietro, Shoombuatong, Watshara

“…Despite the arsenal of existing cancer therapies, the ongoing recurrence and new cases of cancer pose a serious health concern that necessitates the…”
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StackDPPIV: A novel computational approach for accurate prediction of dipeptidyl peptidase IV (DPP-IV) inhibitory peptides by Charoenkwan, Phasit, Nantasenamat, Chanin, Hasan, Md Mehedi, Moni, Mohammad Ali, Lio', Pietro, Manavalan, Balachandran, Shoombuatong, Watshara

“…•We present a novel stacked approach for identifying DPP-IV inhibitory peptides.•A feature representation learning method was employed to generate new…”
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Comorbidity: a multidimensional approach by Capobianco, Enrico, Lio’, Pietro

“…Highlights • Comorbidity represents a paradigm of complexity in medicine. • A multidimensional approach requires conceiving comorbidity as a system. •…”
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Improved prediction and characterization of blood-brain barrier penetrating peptides using estimated propensity scores of dipeptides by Charoenkwan, Phasit, Chumnanpuen, Pramote, Schaduangrat, Nalini, Lio’, Pietro, Moni, Mohammad Ali, Shoombuatong, Watshara

“…The blood-brain barrier (BBB) is the primary barrier with a highly selective semipermeable border between blood vascular endothelial cells and the central…”
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How artificial intelligence and machine learning can help healthcare systems respond to COVID-19 by van der Schaar, Mihaela, Alaa, Ahmed M., Floto, Andres, Gimson, Alexander, Scholtes, Stefan, Wood, Angela, McKinney, Eoin, Jarrett, Daniel, Lio, Pietro, Ercole, Ari

“…The COVID-19 global pandemic is a threat not only to the health of millions of individuals, but also to the stability of infrastructure and economies around…”
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Predicting factors for survival of breast cancer patients using machine learning techniques by Ganggayah, Mogana Darshini, Taib, Nur Aishah, Har, Yip Cheng, Lio, Pietro, Dhillon, Sarinder Kaur

“…Breast cancer is one of the most common diseases in women worldwide. Many studies have been conducted to predict the survival indicators, however most of these…”
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StackPR is a new computational approach for large-scale identification of progesterone receptor antagonists using the stacking strategy by Schaduangrat, Nalini, Anuwongcharoen, Nuttapat, Moni, Mohammad Ali, Lio’, Pietro, Charoenkwan, Phasit, Shoombuatong, Watshara

“…Progesterone receptors (PRs) are implicated in various cancers since their presence/absence can determine clinical outcomes. The overstimulation of…”
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Privacy-Preserving Asynchronous Federated Learning Mechanism for Edge Network Computing by Lu, Xiaofeng, Liao, Yuying, Lio, Pietro, Hui, Pan

“…In the traditional cloud architecture, data needs to be uploaded to the cloud for processing, bringing delays in transmission and response. Edge network…”
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Single-cell RNA-sequencing uncovers transcriptional states and fate decisions in haematopoiesis by Athanasiadis, Emmanouil I., Botthof, Jan G., Andres, Helena, Ferreira, Lauren, Lio, Pietro, Cvejic, Ana

“…The success of marker-based approaches for dissecting haematopoiesis in mouse and human is reliant on the presence of well-defined cell surface markers…”
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DADIM: A distance adjustment dynamic influence map model by Lu, Xiaofeng, Wang, Xiaoming, Lio’, Pietro, Hui, Pan

“…Influence map (IM) is often used as a decision supporting technology in game artificial intelligence (AI). However, the traditional influence map does not…”
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HARDC : A novel ECG-based heartbeat classification method to detect arrhythmia using hierarchical attention based dual structured RNN with dilated CNN by Islam, Md Shofiqul, Hasan, Khondokar Fida, Sultana, Sunjida, Uddin, Shahadat, Lio’, Pietro, Quinn, Julian M.W., Moni, Mohammad Ali

“…Deep learning-based models have achieved significant success in detecting cardiac arrhythmia by analyzing ECG signals to categorize patient heartbeats. To…”
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AI-Based Reconstruction for Fast MRI-A Systematic Review and Meta-Analysis by Chen, Yutong, Schonlieb, Carola-Bibiane, Lio, Pietro, Leiner, Tim, Dragotti, Pier Luigi, Wang, Ge, Rueckert, Daniel, Firmin, David, Yang, Guang

“…Compressed sensing (CS) has been playing a key role in accelerating the magnetic resonance imaging (MRI) acquisition process. With the resurgence of artificial…”
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Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans by Roberts, Michael, Driggs, Derek, Thorpe, Matthew, Gilbey, Julian, Yeung, Michael, Ursprung, Stephan, Aviles-Rivero, Angelica I., Etmann, Christian, McCague, Cathal, Beer, Lucian, Weir-McCall, Jonathan R., Teng, Zhongzhao, Gkrania-Klotsas, Effrossyni, Rudd, James H. F., Sala, Evis, Schönlieb, Carola-Bibiane

“…Machine learning methods offer great promise for fast and accurate detection and prognostication of coronavirus disease 2019 (COVID-19) from standard-of-care…”
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