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Attention-based deep learning for analysis of pathology images and gene expression data in lung squamous premalignant lesions.

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Title: Attention-based deep learning for analysis of pathology images and gene expression data in lung squamous premalignant lesions.
Authors: Xu L; Faculty of Computing & Data Sciences, Boston University, MA, USA., Kefella Y; Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA., Zhang Y; Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA., Conrad RD; Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA., Anderson KE; Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA., Krysan K; Department of Medicine, David Geffen School of Medicine at UCLA, CA, USA.; Jonsson Comprehensive Cancer Center at UCLA, CA, USA., Liu G; Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA., Kane E; Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA., Pennycuick A; Lungs for Living Research Centre, UCL Respiratory, University College London, London, United Kingdom.; University College London Manchester Lung Cancer Centre of Excellence, London, United Kingdom., Janes SM; Lungs for Living Research Centre, UCL Respiratory, University College London, London, United Kingdom.; University College London Manchester Lung Cancer Centre of Excellence, London, United Kingdom., Reid ME; Roswell Park Comprehensive Cancer Center, Buffalo, NY, 14203, USA., Burks EJ; Department of Pathology and Laboratory Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA., Billatos E; Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA., Mazzilli SA; Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA., Kolachalama VB; Faculty of Computing & Data Sciences, Boston University, MA, USA.; Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.; Department of Computer Science, College of Arts & Sciences, Boston University, MA, USA., Beane JE; Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.
Source: MedRxiv : the preprint server for health sciences [medRxiv] 2025 Jun 12. Date of Electronic Publication: 2025 Jun 12.
Publication Type: Journal Article; Preprint
Journal Info: Country of Publication: United States NLM ID: 101767986 Publication Model: Electronic Cited Medium: Internet NLM ISO Abbreviation: medRxiv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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PubType: Academic Journal
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  Data: Attention-based deep learning for analysis of pathology images and gene expression data in lung squamous premalignant lesions.
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  Data: <searchLink fieldCode="AU" term="%22Xu+L%22">Xu L</searchLink>; Faculty of Computing & Data Sciences, Boston University, MA, USA.<br /><searchLink fieldCode="AU" term="%22Kefella+Y%22">Kefella Y</searchLink>; Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Zhang+Y%22">Zhang Y</searchLink>; Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Conrad+RD%22">Conrad RD</searchLink>; Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Anderson+KE%22">Anderson KE</searchLink>; Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Krysan+K%22">Krysan K</searchLink>; Department of Medicine, David Geffen School of Medicine at UCLA, CA, USA.; Jonsson Comprehensive Cancer Center at UCLA, CA, USA.<br /><searchLink fieldCode="AU" term="%22Liu+G%22">Liu G</searchLink>; Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Kane+E%22">Kane E</searchLink>; Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Pennycuick+A%22">Pennycuick A</searchLink>; Lungs for Living Research Centre, UCL Respiratory, University College London, London, United Kingdom.; University College London Manchester Lung Cancer Centre of Excellence, London, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Janes+SM%22">Janes SM</searchLink>; Lungs for Living Research Centre, UCL Respiratory, University College London, London, United Kingdom.; University College London Manchester Lung Cancer Centre of Excellence, London, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Reid+ME%22">Reid ME</searchLink>; Roswell Park Comprehensive Cancer Center, Buffalo, NY, 14203, USA.<br /><searchLink fieldCode="AU" term="%22Burks+EJ%22">Burks EJ</searchLink>; Department of Pathology and Laboratory Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Billatos+E%22">Billatos E</searchLink>; Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Mazzilli+SA%22">Mazzilli SA</searchLink>; Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Kolachalama+VB%22">Kolachalama VB</searchLink>; Faculty of Computing & Data Sciences, Boston University, MA, USA.; Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.; Department of Computer Science, College of Arts & Sciences, Boston University, MA, USA.<br /><searchLink fieldCode="AU" term="%22Beane+JE%22">Beane JE</searchLink>; Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.
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        Value: 10.1101/2025.06.06.25328492
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              Text: 2025 Jun 12
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