Review
Medicine, General & Internal
Amit Akirov, Hiba Masri-Iraqi, Idit Dotan, Ilan Shimon
Summary: The diagnosis, management, and treatment of acromegaly heavily rely on the levels of serum IGF-1, basal GH, and nadir GH following OGTT. However, these hormone concentrations can be influenced by various factors, leading to discordant levels that may require additional monitoring and data. New standards for GH and IGF-1 provide more accurate tools, but limitations should be considered along with clinical history and imaging studies when evaluating patients with acromegaly.
JOURNAL OF CLINICAL MEDICINE
(2021)
Review
Endocrinology & Metabolism
Maria Fleseriu, Fabienne Langlois, Dawn Shao Ting Lim, Elena V. Varlamov, Shlomo Melmed
Summary: Acromegaly, caused by growth hormone-secreting pituitary adenomas, is usually benign but can be locally invasive and progressive. It leads to a wide range of comorbidities and the normalization of growth hormone and insulin-like growth factor 1 is the primary therapeutic goal. A multimodal approach with surgery, medical therapy, and radiation therapy is required for optimal outcomes.
LANCET DIABETES & ENDOCRINOLOGY
(2022)
Review
Medicine, General & Internal
Nazanin Ershadinia, Nicholas A. Tritos
Summary: Acromegaly is a condition caused by a pituitary adenoma that secretes growth hormone, resulting in various complications. Early diagnosis and appropriate treatment are crucial. Diagnosis is confirmed through biochemical tests and MRI. Pituitary surgery is usually the first-line treatment, while medical therapy and radiation therapy can be used as adjunct options.
MAYO CLINIC PROCEEDINGS
(2022)
Review
Medicine, General & Internal
Jill Sisco, A. J. van der Lely
Summary: Earlier diagnosis of acromegaly is crucial to improve patient's quality of life, reduce disease burden, and minimize economic costs associated with the rare disease.
JOURNAL OF CLINICAL MEDICINE
(2021)
Article
Nutrition & Dietetics
Marta Gascon-Ruiz, Diego Casas-Deza, Irene Torres-Ramon, Maria Zapata-Garcia, Natalia Alonso, Andrea Sesma, Julio Lambea, Maria Alvarez-Alejandro, Elisa Quilez, Dolores Isla, Jose M. Arbones-Mainar
Summary: The study indicates that the prevalence of malnutrition in outpatient cancer patients is higher when using the GLIM criteria rather than ESPEN criteria. GLIM criteria are more sensitive in diagnosing patients with high baseline BMI or MM compared to ESPEN criteria.
CLINICAL NUTRITION
(2021)
Article
Medicine, General & Internal
Oluwadunni E. Emiloju, Bahar Saberzadeh-Ardestani, Frank A. Sinicrope
Summary: This study compared the rates of synchronous neoplasia found in patients with early-onset colorectal cancer (CRC) and those with average-onset CRC at colonoscopic diagnosis. It found that advanced adenomas were three times more frequent in early-onset CRC patients compared to average-onset CRC patients. However, in patients with rectal cancer, nonadvanced adenomas were less frequent in the early-onset group while advanced adenomas, when detected, were more commonly located in the rectum.
Article
Computer Science, Cybernetics
Matthew J. Liberatore, William P. Wagner
Summary: This study presents the results of a field experiment comparing users' performance, satisfaction and confidence in completing Business Intelligence tasks using tablets and laptops. The research showed that users working on laptops perform better than those using tablets for various BI tasks.
BEHAVIOUR & INFORMATION TECHNOLOGY
(2022)
Article
Oncology
Adrian Levitsky, Britt-Marie Bernhardson, Ingela Henoch, Maria Olin, Karl Kolbeck, Nadja Rystedt, Carol Tishelman, Lars E. Eriksson
Summary: The study focused on developing and testing an interactive, self-completion e-questionnaire based on patient descriptions of experienced prodromal sensations and symptoms to support early identification of lung cancer (LC). Challenges in the development process included collaboration among different actors, design/user interface issues, and technical problems. The final e-questionnaire, PEX-LC, was developed on a touch-screen smart tablet with modules covering sociodemographic characteristics, early symptoms, and current symptoms. Collaboration with patients, clinicians, and technical experts was crucial for the success of the project.
Article
Multidisciplinary Sciences
Salvatore Citraro, Michael S. Vitevitch, Massimo Stella, Giulio Rossetti
Summary: This article introduces a new framework called FERMULEX, which combines network structure and word vector features for unprecedented exploration of cognitive knowledge. By using FERMULEX networks to model language acquisition in 1000 toddlers aged 18 to 30 months, researchers discovered a language kernel in which basic sentence constructs emerge at 30 months, which is invisible to traditional network detection and feature-only clustering. By modeling word acquisition as random walks on FERMULEX topology, biased random walkers accurately predict early word learning in communicative developmental inventories (CDIs).
SCIENTIFIC REPORTS
(2023)
Article
Neurosciences
Elizaveta Lavrova, Emilie Lommers, Henry C. Woodruff, Avishek Chatterjee, Pierre Maquet, Eric Salmon, Philippe Lambin, Christophe Phillips
Summary: The study explored the potential value of qMRI radiomic features in MS diagnosis, finding that models based on magnetization transfer imaging features in WM performed best in the testing sub-cohort, and T1w radiomic features could be used for rapid automated inspection of WM abnormalities.
FRONTIERS IN NEUROSCIENCE
(2021)
Article
Medicine, General & Internal
Ji Yeon Park
Summary: This study evaluated the measurement of cancer size by computer-aided diagnosis (CAD) and radiologist on breast magnetic resonance imaging (MRI) relative to histopathology. The results showed a very strong correlation between CAD and radiologist measurements with pathology. Radiologist-measured size was significantly more accurate than CAD size. However, both CAD and radiologist measurements can be inaccurate for cancers with specific factors such as extensive intraductal component (EIC) or non-mass enhancement.
JOURNAL OF CLINICAL MEDICINE
(2022)
Article
Engineering, Electrical & Electronic
Younghoon Jeon, Jaeyong Kang, Byeong C. Kim, Kun Ho Lee, Jong-In Song, Jeonghwan Gwak
Summary: Alzheimer's disease (AD) is a progressive neurological disorder, with mild cognitive impairment (MCI) being an intermediate stage. Conventional diagnostic methods for AD have limitations that prevent periodic diagnosis due to factors such as cost and discomfort. Therefore, a new method focusing on gait as an early diagnostic tool is proposed. The method involves collecting gait data using wearable devices and developing experimental paradigms to analyze gait characteristics at different severity levels. A machine learning-based classification model is then applied to the acquired data, showing effectiveness in detecting early stages of AD and potential as an auxiliary diagnostic tool.
IEEE SENSORS JOURNAL
(2023)
Article
Medicine, General & Internal
Caitlin R. Priest, Jennifer F. Waljee, Mark C. Bicket, Hsou-Mei Hu, Kao-Ping Chua
Summary: This study aims to determine the proportion of surgical opioid prescriptions written by advanced practice clinicians (APCs) and compare the dosages with those written by surgeons. The results showed that APCs wrote a significant portion of perioperative opioid prescriptions and their prescriptions had higher total dosages compared to surgeons.
Article
Computer Science, Cybernetics
Md Abdullah Al Fahim, Mohammad Maifi Hasan Khan, Theodore Jensen, Yusuf Albayram
Summary: In the context of teamwork, trust degradation due to failures is slower with human partners compared to automated agents. However, this study found that in high-risk situations, dependence on human partners is appropriate, while in low-risk situations, dependence is inappropriate. Therefore, the human-like characteristics of trust should be considered in relation to risk.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
(2023)
Article
Biochemistry & Molecular Biology
Krishnamurthy (Dj) Dvijotham, Jim Winkens, Melih Barsbey, Sumedh Ghaisas, Robert Stanforth, Nick Pawlowski, Patricia Strachan, Zahra Ahmed, Shekoofeh Azizi, Yoram Bachrach, Laura Culp, Mayank Daswani, Jan Freyberg, Christopher Kelly, Atilla Kiraly, Timo Kohlberger, Scott McKinney, Basil Mustafa, Vivek Natarajan, Krzysztof Geras, Jan Witowski, Zhi Zhen Qin, Jacob Creswell, Shravya Shetty, Marcin Sieniek, Terry Spitz, Greg Corrado, Pushmeet Kohli, Taylan Cemgil, Alan Karthikesalingam
Summary: A collaboration system, CoDoC, integrates decisions between human experts and AI to optimize screening and triaging, reducing clinicians' workload. CoDoC outperforms clinician-only or AI-only baselines in breast cancer screening and TB triaging workflows, reducing false positives and clinician workload. The sustained performance gains of CoDoC across various settings and AI systems highlight its potential in futuristic clinical applications.
Article
Endocrinology & Metabolism
Shlomo Melmed, Vera Popovic, Martin Bidlingmaier, Moises Mercado, Aart Jan van der Lely, Nienke Biermasz, Marek Bolanowski, Mihail Coculescu, Jochen Schopohl, Karoly Racz, Benjamin Glaser, Miklos Goth, Yona Greenman, Peter Trainer, Emese Mezosi, Ilan Shimon, Andrea Giustina, Marta Korbonits, Marcello D. Bronstein, David Kleinberg, Sam Teichman, Irit Gliko-Kabir, Roni Mamluk, Asi Haviv, Christian Strasburger
JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM
(2015)
Article
Medical Laboratory Technology
Martin Bidlingmaier, Berthold P. Hauffa, Peter J. Trainer, Gwendolin Etzrodt-Walter, Joachim Sauer, Juergen Kratzsch, Stephan Petersenn, Michael B. Ranke, Henri Wallaschofski, Christian J. Strasburger
LABORATORIUMSMEDIZIN-JOURNAL OF LABORATORY MEDICINE
(2015)
Article
Medical Laboratory Technology
Gilbert E. Wieringa, Catharine M. Sturgeon, Peter J. Trainer
CLINICA CHIMICA ACTA
(2014)
Article
Endocrinology & Metabolism
Yi Yuen Wang, Claire Higham, Tara Kearney, Julian R. E. Davis, Peter Trainer, Kanna K. Gnanalingham
CLINICAL ENDOCRINOLOGY
(2012)
Article
Endocrinology & Metabolism
Phillip J. Monaghan, Brian G. Keevil, Peter J. Trainer
CLINICAL ENDOCRINOLOGY
(2013)
Article
Endocrinology & Metabolism
Trevor A. Howlett, Debbie Willis, Gillian Walker, John A. H. Wass, Peter J. Trainer
CLINICAL ENDOCRINOLOGY
(2013)
Article
Endocrinology & Metabolism
Anton Luger, Ulla Feldt-Rasmussen, Roger Abs, Rolf C. Gaillard, Michael Buchfelder, Peter Trainer, Thierry Brue
HORMONE RESEARCH IN PAEDIATRICS
(2011)
Article
Endocrinology & Metabolism
C. E. Higham, A. B. Atkinson, S. Aylwin, M. Bidlingmaier, W. M. Drake, A. Lewis, N. M. Martin, V. Moyes, J. Newell-Price, P. J. Trainer
JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM
(2012)
Editorial Material
Endocrinology & Metabolism
Phillip J. Monaghan, Brian G. Keevil, Paul M. Stewart, Peter J. Trainer
JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM
(2014)
Editorial Material
Endocrinology & Metabolism
Peter J. Trainer
JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM
(2014)
Review
Endocrinology & Metabolism
Ilias Perogamvros, David W. Ray, Peter J. Trainer
NATURE REVIEWS ENDOCRINOLOGY
(2012)
Editorial Material
Obstetrics & Gynecology
C. E. Higham, A. B. Atkinson, S. Aylwin, M. Bidlingmaier, W. M. Drake, A. Lewis, N. M. Martin, V. Moyes, J. Newell-Price, P. J. Trainer
OBSTETRICAL & GYNECOLOGICAL SURVEY
(2012)
Article
Endocrinology & Metabolism
Phillip J. Monaghan, Brian G. Keevil, Peter J. Trainer
REVIEWS IN ENDOCRINE & METABOLIC DISORDERS
(2013)
Letter
Medical Laboratory Technology
Phillip J. Monaghan, Laura J. Owen, Peter J. Trainer, Georg Brabant, Brian G. Keevil, Denise Darby
ANNALS OF CLINICAL BIOCHEMISTRY
(2012)
Article
Oncology
Claire E. Higham, Viktoria Chatzimavridou-Grigoriadou, Cheryl T. Fitzgerald, Peter J. Trainer, Alexander M. M. Eggermont, Paul Lorigan
EUROPEAN JOURNAL OF CANCER
(2020)