Article
Medicine, General & Internal
Rebecca Landy, Isabel Gomez, Tanner J. Caverly, Kensaku Kawamoto, M. Patricia Rivera, Hilary A. Robbins, Corey D. Young, Anil K. Chaturvedi, Li C. Cheung, Hormuzd A. Katki
Summary: The use of race and ethnicity in clinical prediction models can lead to disparities in medical decisions. This study compares the eligibility for lung cancer screening in different racial and ethnic groups using two different approaches. By excluding race and ethnicity, the study found that historically underserved groups were penalized, while using a counterfactual eligibility approach helped maintain model accuracy and reduce disparities.
Article
Gastroenterology & Hepatology
Charles J. Zhang, Sophia R. Meyer, Matthew J. O'Meara, Sha Huang, Meghan M. Capeling, Daysha Ferrer-Torres, Charlie J. Childs, Jason R. Spence, Robert J. Fontana, Jonathan Z. Sexton
Summary: In this study, the utility of human liver organoids (HLOs) for high-throughput drug-induced liver injury (DILI) risk prediction and organ-on-chip system was evaluated. The results showed that HLOs have similar DILI predictive capacity as intact HLOs and can predict hepatotoxicity associated with DILI. The organ-on-chip system exhibits in vivo-like functions and is beneficial for DILI risk assessment.
JOURNAL OF HEPATOLOGY
(2023)
Review
Gastroenterology & Hepatology
Maxime Ronot, Pierre Nahon, Jordi Rimola
Summary: Current surveillance recommendations for hepatocellular carcinoma (HCC) involve semiannual liver ultrasound, but this method's sensitivity is suboptimal for early-stage tumors, particularly in obese patients. MRI has shown excellent detection rates for liver lesions, but full contrast-enhanced MRI is not feasible due to limited availability and cost. Abbreviated MRI (AMRI) involves acquiring a limited number of sequences and has shown potential benefits of reduced acquisition time and improved cost-effectiveness compared to conventional MRI. However, caution should be exercised when interpreting published studies, as most were retrospective and focused on specific populations. Direct comparison studies and the development of tailored strategies based on HCC risk factors and AMRI availability are still needed.
Article
Oncology
Jos B. Poell, Leon J. Wils, Arjen Brink, Ralf Dietrich, Christine Krieg, Eunike Velleuer, Ilkay Evren, Elisabeth R. Brouns, Jan G. de Visscher, Elisabeth Bloemena, Bauke Ylstra, Ruud H. Brakenhoff
Summary: This study developed a noninvasive genetic assay to detect genetically altered fields in the oral cavity. The assay demonstrated high accuracy and predicted the development of oral squamous cell carcinoma in high-risk individuals. This method can be used for cancer screening in high-risk populations and to map the extent of lesions beyond what is visible.
INTERNATIONAL JOURNAL OF CANCER
(2023)
Article
Oncology
Zoe Guan, Theodore Huang, Anne Marie McCarthy, Kevin Hughes, Alan Semine, Hajime Uno, Lorenzo Trippa, Giovanni Parmigiani, Danielle Braun
Summary: BRCAPRO is a breast cancer risk prediction model that does not consider non-genetic risk factors. We expand BRCAPRO by combining it with BCRAT, a model that uses mostly non-genetic risk factors, and show improved prediction accuracy. Accurate risk stratification is essential for targeted screening and prevention of cancer.
Article
Chemistry, Multidisciplinary
Hang Sun, Lejia Sun, Xindi Ke, Lijuan Liu, Changcan Li, Bao Jin, Peipei Wang, Zhuoran Jiang, Hong Zhao, Zhiying Yang, Yongliang Sun, Jianmei Liu, Yan Wang, Minghao Sun, Mingchang Pang, Yinhan Wang, Bin Wu, Haitao Zhao, Xinting Sang, Baocai Xing, Huayu Yang, Pengyu Huang, Yilei Mao
Summary: This study introduces an innovative patient-derived tumor model for colorectal cancer and its liver metastases using 3D bioprinting technology. The tumor models effectively retain parental tumor biomarkers and mutation profiles and demonstrate substantial tumor heterogeneity. In vitro tests reveal a strong correlation between drug testing and clinical response, highlighting the potential of 3D bioprinting tumor models for personalized cancer therapy.
Article
Oncology
Dmitrii Shek, Dishen Chen, Scott A. Read, Golo Ahlenstiel
Summary: Liver cancer, predicted to be the third most lethal cancer worldwide by 2030, is primarily caused by obesity, chronic alcohol abuse or viral hepatitis, with alcohol and high fat diet promoting intestinal permeability. Understanding the mechanisms by which liver cancers initiate and progress is crucial, and organoid culture offers advantages for studying the role of the gut-liver axis in cancer initiation and progression.
Review
Pharmacology & Pharmacy
Antonio Segovia-Zafra, Daniel E. Di Zeo-Sanchez, Carlos Lopez-Gomez, Zeus Perez-Valdes, Eduardo Garcia-Fuentes, Raul J. Andrade, M. Isabel Lucena, Marina Villanueva-Paz
Summary: Idiosyncratic drug-induced liver injury (iDILI) is a major public health concern with a lack of biomarkers for prediction, diagnosis, and prognosis, highlighting the need for new models to study and predict its mechanisms. Current preclinical assessment methods have limitations in correlating hepatotoxicity markers with clinically significant iDILI, prompting the exploration of alternative approaches for improved accuracy in predicting iDILI.
ACTA PHARMACEUTICA SINICA B
(2021)
Review
Oncology
Muthu Subash Kavitha, Prakash Gangadaran, Aurelia Jackson, Balu Alagar Venmathi Maran, Takio Kurita, Byeong-Cheol Ahn
Summary: Deep learning models have shown superior performance in diagnosing colon cancer compared to traditional image processing and hand-crafted machine learning methods. However, there is limited research on using transparent approaches for colon cancer diagnosis. This study summarizes the latest models and discusses the knowledge gap in upcoming technology.
Article
Psychiatry
Xiaoyan Ge, Kai Cui, Yao Qin, Durong Chen, Hongjuan Han, Hongmei Yu
Summary: In this study, precise screening schemes were constructed for individuals with different risks of AD and prognosis models were established. The combination of CDRSB and hippocampus volume was recommended for high-risk MCI group, while the combination of ADAS13 and FAQ was recommended for low-risk MCI group in terms of screening strategies.
JOURNAL OF PSYCHIATRIC RESEARCH
(2023)
Review
Gastroenterology & Hepatology
Siyi He, Dianqin Sun, He Li, Maomao Cao, Xinyang Yu, Lin Lei, Ji Peng, Jiang Li, Ni Li, Wanqing Chen
Summary: This systematic review evaluated the application of gastric cancer prediction models and identified potential barriers in real-world practice. The results showed that most models lack validation and fail to clearly report the application scenarios. The authors suggest reducing bias, improving applicability, and providing clear targeting application scenarios to promote real-world use.
CLINICAL AND TRANSLATIONAL GASTROENTEROLOGY
(2023)
Article
Oncology
Run Fan, Yufan Chen, Sarah Nechuta, Hui Cai, Kai Gu, Liang Shi, Pingping Bao, Yu Shyr, Xiao-Ou Shu, Fei Ye
Summary: Robust and reliable prognosis prediction models have been developed for Asian patients with breast cancer, incorporating age, tumor characteristics, treatment information, and lifestyle factors. The models showed high prediction accuracy and generalizability, particularly in Asian American women, after internal and external validation.
Article
Biochemical Research Methods
Ye-Cheng Wang, Zhen-Bo Tian, Xu-Qing Tang
Summary: This study proposed a new method to identify 6 key genes for early diagnosis and treatment of liver cancer through high-throughput expression microarray analysis. The identified key genes can help us better understand the pathogenesis of liver cancer and aid in the early diagnosis and treatment of the disease.
BMC BIOINFORMATICS
(2021)
Article
Gastroenterology & Hepatology
Francesco Negro
Summary: Direct-acting antivirals provide a safe and highly effective treatment for chronic hepatitis C, leading to viral clearance in the majority of patients. Achieving SVR is associated with significant reduction in liver morbidity and mortality, but patients still need to be cautious of potential severe complications from residual liver disease.
JOURNAL OF HEPATOLOGY
(2021)
Article
Chemistry, Multidisciplinary
Katarzyna Kobylinska, Tadeusz Orlowski, Mariusz Adamek, Przemyslaw Biecek
Summary: Modern medicine relies on sophisticated algorithms, and Explainable Artificial Intelligence (XAI) is becoming increasingly important to ensure the trustworthiness of these algorithms. This paper presents selected methods from the XAI field applied to lung cancer risk assessment, providing a better understanding of model predictions.
APPLIED SCIENCES-BASEL
(2022)
Article
Genetics & Heredity
J. S. Floyd, C. M. Sitlani, C. L. Avery, R. Noordam, X. Li, A. V. Smith, S. M. Gogarten, J. Li, L. Broer, D. S. Evans, S. Trompet, J. A. Brody, J. D. Stewart, J. D. Eicher, A. A. Seyerle, J. Roach, L. A. Lange, H. J. Lin, J. A. Kors, T. B. Harris, R. Li-Gao, N. Sattar, S. R. Cummings, K. L. Wiggins, M. D. Napier, T. Sturmer, J. C. Bis, K. F. Kerr, A. G. Uitterlinden, K. D. Taylor, D. J. Stott, R. de Mutsert, L. J. Launer, E. L. Busch, R. Mendez-Giraldez, N. Sotoodehnia, E. Z. Soliman, Y. Li, Q. Duan, F. R. Rosendaal, P. E. Slagboom, K. C. Wilhelmsen, A. P. Reiner, Y-Di Chen, S. R. Heckbert, R. C. Kaplan, K. M. Rice, J. W. Jukema, A. D. Johnson, Y. Liu, D. O. Mook-Kanamori, V. Gudnason, J. G. Wilson, J. I. Rotter, C. C. Laurie, B. M. Psaty, E. A. Whitsel, L. A. Cupples, B. H. Stricker
PHARMACOGENOMICS JOURNAL
(2018)
Article
Cardiac & Cardiovascular Systems
Amanda A. Seyerle, Henry J. Lin, Stephanie M. Gogarten, Adrienne Stilp, Raul Mendez Giraldez, Elsayed Soliman, Antoine Baldassari, Mariaelisa Graff, Susan Heckbert, Kathleen F. Kerr, Charles Kooperberg, Carlos Rodriguez, Xiuqing Guo, Jie Yao, Nona Sotoodehnia, Kent D. Taylor, Eric A. Whitsel, Jerome I. Rotter, Cathy C. Laurie, Christy L. Avery
Article
Genetics & Heredity
A. A. Seyerle, C. M. Sitlani, R. Noordam, S. M. Gogarten, J. Li, X. Li, D. S. Evans, F. Sun, M. A. Laaksonen, A. Isaacs, K. Kristiansson, H. M. Highland, J. D. Stewart, T. B. Harris, S. Trompet, J. C. Bis, G. M. Peloso, J. A. Brody, L. Broer, E. L. Busch, Q. Duan, A. M. Stilp, C. J. O'Donnell, P. W. Macfarlane, J. S. Floyd, J. A. Kors, H. J. Lin, R. Li-Gao, T. Sofer, R. Mendez-Giraldez, S. R. Cummings, S. R. Heckbert, A. Hofman, I Ford, Y. Li, L. J. Launer, K. Porthan, C. Newton-Cheh, M. D. Napier, K. F. Kerr, A. P. Reiner, K. M. Rice, J. Roach, B. M. Buckley, E. Z. Soliman, R. de Mutsert, N. Sotoodehnia, A. G. Uitterlinden, K. E. North, C. R. Lee, V Gudnason, T. Sturmer, F. R. Rosendaal, K. D. Taylor, K. L. Wiggins, J. G. Wilson, Y-D Chen, R. C. Kaplan, K. Wilhelmsen, L. A. Cupples, V Salomaa, C. van Duijn, J. W. Jukema, Y. Liu, D. O. Mook-Kanamori, L. A. Lange, R. S. Vasan, A. Smith, B. H. Stricker, C. C. Laurie, J. Rotter, E. A. Whitsel, B. M. Psaty, C. L. Avery
PHARMACOGENOMICS JOURNAL
(2018)
Article
Health Care Sciences & Services
Allison Meisner, Chirag R. Parikh, Kathleen F. Kerr
STATISTICAL METHODS IN MEDICAL RESEARCH
(2019)
Letter
Cardiac & Cardiovascular Systems
Kathleen F. Kerr, Heather R. Thiessen-Philbrook, Chirag R. Parikh
ANNALS OF THORACIC SURGERY
(2018)
Article
Health Care Sciences & Services
Kathleen F. Kerr, Marshall D. Brown, Tracey L. Marsh, Holly Janes
MEDICAL DECISION MAKING
(2019)
Article
Anesthesiology
Shad B. Smith, Marc Parisien, Eric Bair, Inna Belfer, Anne-Julie Chabot-Dore, Pavel Gris, Samar Khoury, Shannon Tansley, Yelizaveta Torosyan, Dmitri Zaykin, Olaf Bernhardt, Priscila de Oliveira Serrano, Richard Gracely, Deepti Jain, Marjo-Riitta Jaervelin, Linda Kaste, Kathleen Kerr, Thomas Kocher, Raija Lahdesmaki, Nadia Laniado, Cathy Laurie, Cecelia Laurie, Minna Mannikko, Carolina Meloto, Andrea Nackley, Sarah Nelson, Paula Pesonen, Margarete Ribeiro-Dasilva, Celia Rizzatti-Barbosa, Anne Sanders, Christian Schwahn, Kirsi Sipila, Tamar Sofer, Alexander Teumer, Jeffrey Mogil, Roger Fillingim, Joel Greenspan, Richard Ohrbach, Gary Slade, William Maixner, Luda Diatchenko
Article
Gastroenterology & Hepatology
George N. Ioannou, Pamela Green, Kathleen F. Kerr, Kristin Berry
JOURNAL OF HEPATOLOGY
(2019)
Editorial Material
Health Care Sciences & Services
Kathleen F. Kerr, Tracey L. Marsh, Holly Janes
MEDICAL DECISION MAKING
(2019)
Article
Neurosciences
Tessandra Stewart, Min Shi, Aanchal Mehrotra, Patrick Aro, David Soltys, Kathleen E. Kerr, Cyrus P. Zabetian, Elaine R. Peskind, Peggy Taylor, Leslie M. Shaw, John Q. Trojanowski, Jing Zhang
JOURNAL OF ALZHEIMERS DISEASE
(2019)
Article
Multidisciplinary Sciences
Brenton R. Swenson, Tin Louie, Henry J. Lin, Raul Mendez-Giraldez, Jennifer E. Below, Cathy C. Laurie, Kathleen F. Kerr, Heather Highland, Timothy A. Thornton, Kelli K. Ryckman, Charles Kooperberg, Elsayed Z. Soliman, Amanda A. Seyerle, Xiuqing Guo, Kent D. Taylor, Jie Yao, Susan R. Heckbert, Dawood Darbar, Lauren E. Petty, Barbara McKnight, Susan Cheng, Natalie A. Bello, Eric A. Whitsel, Craig L. Hanis, Mike A. Nalls, Daniel S. Evans, Jerome I. Rotter, Tamar Sofer, Christy L. Avery, Nona Sotoodehnia
Article
Multidisciplinary Sciences
Tamar Sofer, Leslie Emery, Deepti Jain, Alicia M. Ellis, Cathy C. Laurie, Matthew A. Allison, Jiwon Lee, Nuzulul Kurniansyah, Kathleen F. Kerr, Hector M. Gonzalez, Wassim Tarraf, Michael H. Criqui, Leslie A. Lange, Walter R. Palmas, Nora Franceschini, Christina L. Wassel
SCIENTIFIC REPORTS
(2019)
Article
Urology & Nephrology
Kathleen F. Kerr, Eric R. Morenz, Jeremy Roth, Heather Thiessen-Philbrook, Steven G. Coca, Chirag R. Parikh
KIDNEY INTERNATIONAL REPORTS
(2019)
Article
Oncology
Allison Meisner, Kathleen F. Kerr, Heather Thiessen-Philbrook, Francis Perry Wilson, Amit X. Garg, Michael G. Shlipak, Peter Kavsak, Richard P. Whitlock, Steven G. Coca, Chirag R. Parikh
BIOMARKER RESEARCH
(2018)