Review
Multidisciplinary Sciences
Hanchen Wang, Tianfan Fu, Yuanqi Du, Wenhao Gao, Kexin Huang, Ziming Liu, Payal Chandak, Shengchao Liu, Peter Van Katwyk, Andreea Deac, Anima Anandkumar, Karianne Bergen, Carla P. Gomes, Shirley Ho, Pushmeet Kohli, Joan Lasenby, Jure Leskovec, Tie-Yan Liu, Arjun Manrai, Debora Marks, Bharath Ramsundar, Le Song, Jimeng Sun, Jian Tang, Petar Velickovic, Max Welling, Linfeng Zhang, Connor W. Coley, Yoshua Bengio, Marinka Zitnik
Summary: Artificial intelligence (AI) is increasingly used in scientific discovery, providing assistance in hypothesis generation, experimental design, data analysis, and insight generation. Recent breakthroughs include self-supervised learning and geometric deep learning, which enhance model accuracy and efficiency. Generative AI methods can generate diverse designs through analysis of various data modalities. Despite progress, challenges such as data quality and stewardship remain, making it critical to develop foundational algorithmic approaches for AI innovation.
Article
Psychology, Biological
Lili Miao, Dakota Murray, Woo-Sung Jung, Vincent Lariviere, Cassidy R. Sugimoto, Yong-Yeol Ahn
Summary: Science is crucial for innovation and economic prosperity, but it is still unclear whether there are universal structures and trajectories for national scientific development. By examining scientific publications from different countries, a three-cluster structure in global science has been revealed, offering a fresh perspective on scientific development.
NATURE HUMAN BEHAVIOUR
(2022)
Article
Engineering, Chemical
Mehran Haghparast, Mahdi Aliyari Shoorehdeli
Summary: This paper proposes a causality detection method based on distance correlation, utilizing causality measure index and REDC to reduce computational burden. The method provides acceptable performance for causality detection in linear and nonlinear systems, significantly reducing computational time.
Article
Microbiology
Weiwei Cai, Xiangyu Han, Thangavel Sangeetha, Hong Yao
Summary: This study constructed a microbial causal correlation network using time series data and revealed ecological interactions among microorganisms in activated sludge. The genus Nitrospira played a key role in the ecological processes of nitrification and interaction with other bacterial taxa.
FRONTIERS IN MICROBIOLOGY
(2022)
Article
Information Science & Library Science
Ryan Cordell
Summary: This article argues that libraries need to go beyond current proposals and experiments to narrow the gap in applying machine learning to enhance discoverability for library materials. To address this, libraries and ML researchers should work together to develop interfaces that allow users to explore collections through machine learning, while educating them about the ML processes and biases.
Review
Clinical Neurology
Jessica M. Cassidy, Jasper Mark, Steven C. Cramer
Summary: Stroke is a major cause of disability, and predicting post-stroke recovery is challenging. Neuroimaging-based biomarkers, particularly those measuring structural and functional connectivity of the brain, have shown potential in predicting motor recovery after stroke. This review explores the use of functional neural network connectivity measurements obtained from various imaging techniques in describing and predicting post-stroke behavioral status and recovery. The authors argue for the importance of implementing a causal inference framework in stroke research to move from association to causation.
Review
Oncology
Nicholas Michael, Naris Nilubol
Summary: Adrenocortical cancer (ACC) is a rare malignancy with poor prognosis and limited treatment options. Surgery is the only curative option, but many patients present with advanced disease or experience recurrence. Despite advancements in understanding the molecular background of ACC, there is still a lack of effective systemic therapies, with mitotane remaining the mainstay of treatment. New treatment strategies have not led to significant clinical benefit, highlighting the need for further research to improve therapeutic options for ACC.
Article
Neurosciences
S. Sharifi, F. Luft, L. de Boer, A. W. G. Buijink, W. Mugge, A. C. Schouten, T. Heida, L. J. Bour, A. F. van Rootselaar
Summary: Tremor is considered to be an effect of oscillatory activity in the sensorimotor network, but the underlying pathological brain networks are not fully understood. This study aimed to disentangle the sensorimotor system into driving and feedback/compensatory involvement, and investigate tremor activity in ET and tremor-dominant PD using a closed-loop approach. The results showed similar activation patterns in the motor and sensory networks for ET patients and healthy controls, while PD patients had less activity during active motor tasks. These findings contribute to a better understanding of tremor pathophysiology.
Article
Economics
Hakon Otneim, Dag Tjostheim
Summary: This article introduces a new measure of conditional dependence called the local Gaussian partial correlation (LGPC). Compared to traditional partial correlation coefficients, LGPC can better describe conditional dependence in a wide range of populations and has some useful and novel properties. LGPC can also be used to study departures from conditional independence in specific parts of the distribution.
JOURNAL OF BUSINESS & ECONOMIC STATISTICS
(2022)
Article
Neurosciences
Nicolina Sciaraffa, Jieqiong Liu, Pietro Arico, Gianluca Di Flumeri, Bianca M. S. Inguscio, Gianluca Borghini, Fabio Babiloni
Summary: The neurophysiological analysis of cooperation has evolved over the past 20 years towards studying common patterns in neurophysiological signals during interactions. Social Physiological Compliance (SPC) and hyperscanning are two frameworks that analyze autonomic and brain signals, providing information on emotions and cognitive aspects respectively. This study explores the possibility of unifying these two approaches to create a comprehensive neurophysiological model for cooperation, taking into account affective and cognitive mechanisms. Results show a statistically significant causality between variables representing individuals in a dyad only when they cooperate, and the strength of this relationship correlates with the dyad's performance.
SOCIAL COGNITIVE AND AFFECTIVE NEUROSCIENCE
(2021)
Review
Clinical Neurology
Andreia M. Oliveira, Luis Coelho, Eduardo Carvalho, Manuel J. Ferreira-Pinto, Rui Vaz, Paulo Aguiar
Summary: Parkinson's disease is a neurodegenerative disease with significant social and economic impact. Current treatments focus on managing symptoms, and there is a need for disease-modifying therapies. Deep Brain Stimulation (DBS) is an effective treatment, but current systems have limitations. Machine learning (ML) methods are being explored to identify biomarkers and develop personalized DBS control systems, promising more efficient and tailored treatments.
JOURNAL OF NEUROLOGY
(2023)
Article
Computer Science, Information Systems
Dennis Dosso, Susan B. Davidson, Gianmaria Silvello
Summary: Digital data is a fundamental research product, but the concept of data credit, which represents the importance of cited data, is still not well understood. This paper explores the problem of distributing credit to database parts responsible for producing data cited by a research entity. The authors use the IUPHAR/BPS Guide to Pharmacology as a case study and define three distribution strategies based on how-provenance, responsibility, and the Shapley value. The paper demonstrates how credit can serve as a bibliometric measure for data and their curators, highlighting frequently-used database areas and rewarding research impact.
INFORMATION SYSTEMS
(2022)
Article
Computer Science, Interdisciplinary Applications
Shahrooz Shahparvari, Hamed Soleimani, Kannan Govindan, Behrooz Bodaghi, Mahshid Taherian Fard, Hamid Jafari
Summary: This study developed a robust stochastic optimization model for reverse logistics in closed-loop supply chains, demonstrating its effectiveness through numerical experiments and model comparisons. The model has the potential for practical application in real-life case studies.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Chemistry, Applied
Mohan Kavya, Alan Ranjit Jacob, P. Nisha
Summary: Pectin stabilized emulgel was prepared using an emulsion guided approach. The properties of the emulgel strongly depended on the properties of the emulsion, which were influenced by the emulsifier (gelator). The study investigated the fabrication of emulsion using pectin isolated from passion fruit rind and observed the changes in structural and rheological features during the transformation from emulsion to emulgel. The results showed that passion fruit rind pectin exhibited excellent emulsifying capacity and the concentration of pectin and the proportion of oil phase had a direct and inverse effect, respectively, on the physical stability of the emulsion. The study also revealed the increase in yield stress, yield strain, and elastic modulus upon converting the emulsion to emulgel, as well as the formation of droplet aggregate and droplet entrapment in the biopolymer matrix.
FOOD HYDROCOLLOIDS
(2023)
Review
Anesthesiology
Po-Yi Paul Su, Jeffrey Arle, Lawrence Poree
Summary: Neuromodulation has shown promise as a therapy for chronic pain and neurological conditions. This review discusses the use of automation systems in spinal cord stimulation, including closed loop, feedforward, and feedback systems. It emphasizes the importance of understanding and selecting appropriate therapies based on automation systems for individual patients.
Article
Biochemical Research Methods
Cordelia Ziraldo, Alexey Solovyev, Ana Allegretti, Shilpa Krishnan, M. Kristi Henzel, Gwendolyn A. Sowa, David Brienza, Gary An, Qi Mi, Yoram Vodovotz
PLOS COMPUTATIONAL BIOLOGY
(2015)
Article
Gastroenterology & Hepatology
Marc A. Ward, Joseph F. Pierre, Raquel F. Leal, Yong Huang, Benjamin Shogan, Sushila R. Dalal, Christopher R. Weber, Vanessa A. Leone, Mark W. Musch, Gary C. An, Mrinalini C. Rao, David T. Rubin, Laura E. Raffals, Dionysios A. Antonopoulos, Mitch L. Sogin, Neil H. Hyman, John C. Alverdy, Eugene B. Chang
AMERICAN JOURNAL OF PHYSIOLOGY-GASTROINTESTINAL AND LIVER PHYSIOLOGY
(2016)
Article
Engineering, Biomedical
Colleen E. Clancy, Gary An, William R. Cannon, Yaling Liu, Elebeoba E. May, Peter Ortoleva, Aleksander S. Popel, James P. Sluka, Jing Su, Paolo Vicini, Xiaobo Zhou, David M. Eckmann
ANNALS OF BIOMEDICAL ENGINEERING
(2016)
Article
Engineering, Biomedical
Ghassan S. Kassab, Gary An, Edward A. Sander, Michael I. Miga, Julius M. Guccione, Songbai Ji, Yoram Vodovotz
ANNALS OF BIOMEDICAL ENGINEERING
(2016)
Article
Engineering, Biomedical
Thomas E. Yankeelov, Gary An, Oliver Saut, E. Georg Luebeck, Aleksander S. Popel, Benjamin Ribba, Paolo Vicini, Xiaobo Zhou, Jared A. Weis, Kaiming Ye, Guy M. Genin
ANNALS OF BIOMEDICAL ENGINEERING
(2016)
Article
Biology
G. An, B. G. Fitzpatrick, S. Christley, P. Federico, A. Kanarek, R. Miller Neilan, M. Oremland, R. Salinas, R. Laubenbacher, S. Lenhart
BULLETIN OF MATHEMATICAL BIOLOGY
(2017)
Article
Multidisciplinary Sciences
Joaquin Chapa, Gary An, Swati A. Kulkarni
Article
Critical Care Medicine
Craig S. Brown, Jennifer R. Defazio, Gary An, Annemarie O'Connor, Emma Whitcomb, John Hart, Lawrence J. Gottlieb
JOURNAL OF BURN CARE & RESEARCH
(2017)
Article
Biochemical Research Methods
Robert Chase Cockrell, Gary An
PLOS COMPUTATIONAL BIOLOGY
(2018)
Article
Biology
Gary An
BULLETIN OF MATHEMATICAL BIOLOGY
(2018)
Article
Medicine, Research & Experimental
Yoram Vodovotz, Gary An
WILEY INTERDISCIPLINARY REVIEWS-SYSTEMS BIOLOGY AND MEDICINE
(2019)
Article
Virology
Chase Cockrell, Gary An
Summary: The study investigates the differences in immune responses between bats and humans, focusing on viral infections. Simulation experiments show that bats exhibit stronger viral tolerance, potentially offering crucial insights into disease severity in human viral infections.
Article
Health Care Sciences & Services
R. Laubenbacher, A. Niarakis, T. Helikar, G. An, B. Shapiro, R. S. Malik-Sheriff, T. J. Sego, A. Knapp, P. Macklin, J. A. Glazier
Summary: Digital twins, customized simulation models pioneered in industry, are being applied in medicine and healthcare with major successes. However, developing digital twins of the immune system presents challenges due to its complexity and measurement difficulties. This article outlines a roadmap for meeting these challenges and building a prototype of an immune digital twin.
NPJ DIGITAL MEDICINE
(2022)
Article
Chemistry, Physical
Jonathan Ozik, Nicholson Collier, Randy Heiland, Gary An, Paul Macklin
MOLECULAR SYSTEMS DESIGN & ENGINEERING
(2019)
Article
Computer Science, Cybernetics
Jonathan Ozik, Nicholson T. Collier, Justin M. Wozniak, Charles M. Macal, Gary An
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
(2018)
