25 papers · ranked by Valyu relevance
Molly E. McCue, Annette M. McCoy
Advances in high-throughput molecular biology and electronic health records (EHR), coupled with increasing computer capabilities have resulted in an increased interest in the use of big data in health care. Big data require collection and analysis of data at an unprecedented scale and represents a paradigm shift in…
Jennifer Kim, Mariela Villarreal, Shreyas Arya, Antonio Hernandez + 2 more
Bronchopulmonary dysplasia (BPD), a chronic lung disease predominantly affecting premature infants, poses substantial clinical challenges. This review delves into the promise of biomedical informatics (BMI) in reshaping BPD research and care. We commence by highlighting the escalating prevalence and healthcare impact…
Jason H. Moore, John H. Holmes
Biomedical informatics has become a central focus for many academic medical centers and universities as biomedical research because increasingly reliant on the processing, analysis, and interpretation of large volumes of data, information, and knowledge. We posit here that this is the beginning of the golden era of…
Christian Castaneda, Kip Nalley, Ciaran Mannion, Pritish Bhattacharyya + 4 more
'Pritish Bhattacharyya' 'Patrick Blake' 'Andrew Pecora' 'Andre Goy' 'K Stephen Suh'] As research laboratories and clinics collaborate to achieve precision medicine, both communities are required to understand mandated electronic health/medical record (EHR/EMR) initiatives that will be fully implemented in all clinics…
Vivek Navale, Michelle Ji, Evan McCreedy, Tsega Gebremichael + 5 more
The goal is to develop a standardized informatics computing system that can support end-to-end research data lifecycle management for biomedical research applications. Design and implementation of biomedical research informatics computing system (BRICS) is demonstrated. The system architecture is modular in design with…
William Hersh
Background Despite the growing interest by leaders, policy makers, and others, the terminology of health information technology as well as biomedical and health informatics is poorly understood and not even agreed upon by academics and professionals in the field. Discussion The paper, presented as a Debate to encourage…
P Bryan Heidorn, Carole L Palmer, Dan Wright
Data management and integration are complicated and ongoing problems that will require commitment of resources and expertise from the various biological science communities. Primary components of successful cross-scale integration are smooth information management and migration from one context to another. We call for…
Oscar Mora, Jesús Bisbal
In this paper, we present BIMS (Biomedical Information Management System). BIMS is a software architecture designed to provide a flexible computational framework to manage the information needs of a wide range of biomedical research projects. The main goal is to facilitate the clinicians' job in data entry, and…
Ansuman Chattopadhyay, Carrie L. Iwema, Barbara A. Epstein, Adrian V. Lee + 1 more
Biomedical researchers are increasingly reliant on obtaining bioinformatics training in order to conduct their research. Here we present a model that academic institutions may follow to provide such training for their researchers, based on the Molecular Biology Information Service (MBIS) of the Health Sciences Library…
Muhammad Afzal, S. M. Riazul Islam, Maqbool Hussain, Sungyoung Lee
This research was supported by the Ministry of Science and ICT (MSIT), Korea, under the Information Technology Research Center (ITRC) support program (IITP-2017-0-01629) supervised by the Institute of Information & Communications Technology Planning & Evaluation (IITP). This work was supported by an IITP grant funded…
Darrell O. Ricke, James Harper, Anna Shcherbina, Nelson Chiu
Capabilities for generating and storing large amounts of data relevant to individual health and performance are rapidly evolving and have the potential to accelerate progress toward quantitative and individualized understanding of many important issues in health and medicine. Recent advances in clinical and laboratory…
Yovaninna Alarcón‐Soto, Jenifer Espasandín-Domínguez, Ipek Guler, Mercedes Conde‐Amboage + 4 more
'Mercedes Conde‐Amboage' 'Francisco Gudé' 'Klaus Langohr' 'Carmén Cadarso-Suárez' 'Guadalupe Gómez Melis'] Abstract: We highlight the role of Data Science in Biomedicine. Our manuscript goes from the general to the particular, presenting a global definition of Data Science and showing the trend for this discipline…
L Ohno-Machado, SA Sansone, G Alter, I Fore + 7 more
The value of broadening searches for data across multiple repositories has been identified by the biomedical research community. As part of the NIH Big Data to Knowledge initiative, we work with an international community of researchers, service providers and knowledge experts to develop and test a data index and…
Khalid Raza
In recent years, rapid developments in genomics and proteomics have generated a large amount of biological data. Drawing conclusions from these data requires sophisticated computational analyses. Bioinformatics, or computational biology, is the interdisciplinary science of interpreting biological data using information…
Authors not listed
Artificial intelligence (AI) is reshaping scientific research by accelerating discovery and enabling the analysis of complex data that traditional methods struggle to handle. This review examines over 310,000 journal articles and patents from the CAS Content Collection (2015–2025), with a focus on, biomedical research…
Arshia Rehman, Saeeda Naz, Imran Razzak
Clinicians decisions are becoming more and more evidence-based meaning in no other field the big data analytics so promising as in healthcare. Due to the sheer size and availability of healthcare data, big data analytics has revolutionized this industry and promises us a world of opportunities. It promises us the power…
Antony T. Vincent, Steve J. Charette
The bioinformatics Like microscopes and thermal cyclers, computers are routinely used in many laboratories. Bioinformatics is a recent scientific discipline that has undergone strong and rapid progression and evolution (Ouzounis, [12]). The use of bioinformatics analyses in biological studies in fields as diverse as…
Susanna-Assunta Sansone, Alejandra Gonzalez-Beltran, Philippe Rocca-Serra, George Alter + 12 more
Today’s science increasingly requires effective ways to find and access existing datasets that are distributed across a range of repositories. For researchers in the life sciences, discoverability of datasets may soon become as essential as identifying the latest publications via PubMed. Through an international…
Gabriel Rosenfeld, Dawei Lin
While the impact of biomedical research has traditionally been measured using bibliographic metrics such as citation or journal impact factor, the data itself is an output which can be directly measured to provide additional context about a publication’s impact. Data are a resource that can be repurposed and reused…
Carla Teixeira Lopes
This report provides an overview of the field of Information Retrieval (IR) in healthcare. It does not aim to introduce general concepts and theories of IR but to present and describe specific aspects of Health Information Retrieval (HIR). After a brief introduction to the more broader field of IR, the significance of…
Eric W Deutsch, Juan Antonio Vizcaíno, Andrew R Jones, Pierre-Alain Binz + 25 more
The Human Proteome Organization (HUPO) Proteomics Standards Initiative (PSI) has been successfully developing guidelines, data formats, and controlled vocabularies (CVs) for the proteomics community and other fields supported by mass spectrometry since its inception twenty years ago. Here we describe the general…
Fernanda I. Saldívar-González, Diana L. Prado-Romero, B. Raziel Cedillo-González, Ana L. Chávez-Hernández + 4 more
Searching, retrieving, and analyzing chemical information is one of the main tasks faced by students and professionals in chemistry-related scientific disciplines. Currently, freely available modules developed in programming languages, such as Python, allow efficient data management and facilitate obtaining information…
Henning Otto Brinkhaus, Kohulan Rajan, Jonas Schaub, Achim Zielesny + 1 more
Recent years have seen a sharp increase in the development of deep learning and artificial intelligence-based molecular informatics. There has been a growing interest in applying deep learning to several subfields, including the digital transformation of synthetic chemistry, extraction of chemical information from the…
Jose L. Medina-Franco, Edgar López-López, Johny R. Rodríguez-Pérez, Héctor F. Cortés-Hernández + 1 more
In Chemoinformatics, as in many other computational-related disciplines, it is a common practice to identify the “single best” approach or methodology, for instance, identify the best fingerprint representation, the best single virtual screening approach or protocol, the optimal representation of the chemical space…
Rumiana Tenchov, Aparna Sapra, Janet Sasso, Krittika Ralhan + 3 more
Cancer is one of the leading causes of death worldwide. Early cancer detection is critical because it can significantly improve treatment outcome thus saving lives, reducing suffering, and lessening psychological and economic burdens. Cancer biomarkers provide varied information about cancer, from early detection of…