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321.3Average days
300Median days
164Fastest days
641Longest days
2022025 publications

Paper Review Records

All Paper Review Records

15 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.

641 days

Macrophage-mediated brain-bone marrow crosstalk promotes chronic stress-induced glioma growth

Authors
Zhengnan Yang; Jingtian Zhou; Fan Fei; Bohao Zheng; Sophie Xin Yang; Thomas M. Pearce; Peidong Zhang; Liang Huang; Jing Yue; Qiuhong Shen; Yiwei Du; Xiaoling Liao; Siyu Cheng; Li Li; Jian Liang; Luyao Liu; Xiaoxiao Wan; Michael D. Taylor; Joseph R. Ecker; Shengtao Zhou; Jeremy N. Rich; Linjie ZhaoShow moreShow less
Affiliations
Department of Obstetrics and Gynecology, Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, State Key Laboratory of Biotherapy, West China Second University Hospital, Department of Neurosurgery, West China Hospital, Sichuan University and Collaborative Innovation Center, Chengdu, P.R. China; Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA; Arc Institute, Palo Alto, CA, USA; Department of Neurosurgery, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan, P.R. China; Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu 214122, China; Business Administration of Business School, Sichuan University, Chengdu, P.R. China; Department of Pathology, Division of Neuropathology, University of Pittsburgh, Pittsburgh, PA, USA; Department of Medical Records Management, West China Second University Hospital, Sichuan University, Chengdu, P.R. China; Division of Immunobiology, Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA; Pediatric Neuro-Oncology Research Program, Baylor College of Medicine, One Baylor Plaza, Houston, TX, USA; Division of Neurosurgery, Texas Children’s Hospital, One Baylor Plaza, Houston, TX, USA; Howard Hughes Medical Institute, The Salk Institute for Biological Studies, La Jolla, CA, USA; Development and Related Diseases of Women and Children Key Laboratory of Sichuan Province, Chengdu, P.R. China; Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USAShow moreShow less
Source PDF DOI Publisher page
243 days

Spatial biomarker discovery via interpretable semantic learning in histopathology

Authors
Junhao Liang; Xiaofeng Jiang; Nic Gabriel Reitsam; Tim Lenz; Li Zhang; Marco Gustav; Zunamys Itzell Carrero; Hannah Sophie Muti; Peter Neidlinger; Jan Clusmann; Laura Žigutytė; Vidhya Sainath; Fabian Wolf; Lisa A. Boardman; Amy J. French; Ellen L. Goode; Andrea Gsur; Stefanie Brezina; Marc J. Gunter; Robert Steinfelder; Tabitha Harrison; Ulrike Peters; Amanda I. Phipps; Philip Quirke; Nicholas P. West; Michael Hoffmeister; Hermann Brenner; Durgesh Wankhede; Jitendra Jonnagaddala; Nicholas Hawkins; Robyn L. Ward; Elena Fountzilas; Kyriaki Papadopoulou; George Fountzilas; Thierry André; Julien Taieb; Jean-François Emile; Magali Svrcek; Lingjie Kong; Jakob Nikolas KatherShow moreShow less
Affiliations
Else Kroener Fresenius Center for Digital Health, Faculty of Medicine, TUD Dresden University of Technology, Dresden, Germany; State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument, Tsinghua University, Beijing 100084, China; Department of Thoracic Surgery, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China (UESTC), Chengdu, China; Pathology, Faculty of Medicine, University of Augsburg, Augsburg, Germany; Bavarian Center for Cancer Research, BZKF, Augsburg, Germany; Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, USA; Division of Laboratory Genetics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA; Department of Quantitative Health Sciences, Division of Epidemiology, Mayo Clinic, Rochester, MN, USA; Center for Cancer Research, Medical University of Vienna, Vienna, Austria; Nutrition and Metabolism Branch, International Agency for Research on Cancer, World Health Organization, Lyon, France; Cancer Epidemiology and Prevention Research Unit, School of Public Health, Imperial College London, London, UK; Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA; Department of Epidemiology, University of Washington, Seattle, WA, USA; Pathology & Data Analytics, Leeds Institute of Medical Research at St James’s, University of Leeds, Leeds, UK; Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany; Cancer Prevention Graduate School, German Cancer Research Center (DKFZ), Heidelberg, Germany; German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany; School of Population Health, Faculty of Medicine and Health, UNSW Sydney, Kensington, Sydney, NSW, Australia; School of Medical Sciences, Faculty of Medicine and Health, UNSW Sydney, Sydney, NSW, Australia; Faculty of Medicine and Health, The University of Sydney, Camperdown, Sydney, NSW, Australia; Department of Medical Oncology, St Luke’s Clinic, Thessaloniki, Greece; Laboratory of Molecular Oncology, Hellenic Foundation for Cancer Research, Thessaloniki, Greece; Medical Oncology, Institut Universitaire de Cancérologie AP-HP Sorbonne Université - Hôpital Saint-Antoine, Paris, France; Department of Gastroenterology and Digestive Oncology, European Georges Pompidou Hospital, Assistance Publique Hôpitaux de Paris, University of Paris Cité, 75015 Paris, France; Paris-Saclay University, Versailles SQY University, EA4340-BECCOH, Assistance Publique-Hôpitaux de Paris, Ambroise-Paré Hospital, Smart Imaging, Service de Pathologie, Boulogne, France; Sorbonne Université, LIMICS, INSERM UMRS 1142, Paris, France; Léon Bérard Comprehensive Cancer Center, Department of Pathology, Lyon, France; IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing, China; Department of Medicine I, Faculty of Medicine, TUD Dresden University of Technology, Dresden, Germany; Medical Oncology, National Center for Tumor Diseases (NCT), University Hospital Heidelberg, Heidelberg, Germany; Department for Visceral, Thoracic and Vascular Surgery, University Hospital and Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany; National Center for Tumor Diseases Dresden (NCT/UCC), A Partnership Between DKFZ, Faculty of Medicine and University Hospital Carl Gustav Carus, TU Dresden University of Technology, and Helmholtz-Zentrum Dresden - Rossendorf (HZDR), Dresden, Germany; German Cancer Consortium (DKTK), Partner Site Dresden, German Cancer Research Center (DKFZ), Heidelberg, Germany; Division of Clinical Epidemiology of Early Cancer Detection, German Cancer Research Center (DKFZ), Heidelberg, Germany; Aristotle University of Thessaloniki, Thessaloniki, Greece; Department of Internal Medicine III, Gastroenterology, Metabolic Diseases and Intensive Care, University Hospital RWTH Aachen, Aachen, Germany; European University Cyprus, Engomi, CyprusShow moreShow less
Source PDF DOI Publisher page
245 days

Mapping cell type-resolved transcriptomic profiles to patient survival in pancreatic cancer

Authors
Rong Tang; Liquan Jin; Chen Chen; Yingna Liao; Dingru Li; Yangyi Li; Yueyue Chen; Yuan Liu; Qiong Du; Zeyin Rong; Jiaoshun Chen; Yubin Lei; Zijian Wu; Zhen Tan; Yufeng Wang; Haoyu Wang; Jin Xu; Wei Wang; Si Shi; Xianjun YuShow moreShow less
Affiliations
Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai 200030, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200030, China; Shanghai Pancreatic Cancer Institute, Shanghai 200032, China; Shanghai Key Laboratory of Precision Medicine for Pancreatic Cancer, Shanghai 200032, China; Pancreatic Cancer Institute, Fudan University, Shanghai 200032, China; Department of Endoscopy, Fudan University Shanghai Cancer Center, Shanghai 200032, China; Department of Pharmacy, Fudan University Shanghai Cancer Center, Shanghai 200032, China; Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang Province 310030, China; Department of General Surgery, Xuanwu Hospital, Capital Medical University, Beijing 100053, China; Department of Hepatobiliary Pancreatic Surgery, The Affiliated Hospital of Qingdao University, Qingdao 266000, Shandong, China; Clinical Medical College of Dali University, Dali, Yunnan 671003, ChinaShow moreShow less
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Machine Learning and Life-Cycle Assessment for Predicting and Optimizing Carbon Emissions in Urban Wastewater Treatment

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Average review62 days

Median65 days

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