Computational biology refers to the use of data analysis, mathematical modeling and computational simulations to understand biological systems and relationships. An intersection of computer science, biology, and big data, the field also has foundations in applied mathematics, chemistry, and genetics. It differs from biological computing, a subfield of computer science and engineering which uses bioengineering to build computers.
Text mining, text data mining (TDM) or text analytics is the process of deriving high-quality information from text. It involves "the discovery by computer of new, previously unknown information, by automatically extracting information from different written resources." Written resources may include websites, books, emails, reviews, and articles. High-quality information is typically obtained by devising patterns and trends by means such as statistical pattern learning. According to Hotho et al. (2005) we can distinguish between three different perspectives of text mining: information extraction, data mining, and a knowledge discovery in databases (KDD) process. Text mining usually involves the process of structuring the input text, deriving patterns within the structured data, and finally evaluation and interpretation of the output. 'High quality' in text mining usually refers to some combination of relevance, novelty, and interest. Typical text mining tasks include text categorization, text clustering, concept/entity extraction, production of granular taxonomies, sentiment analysis, document summarization, and entity relation modeling.
Health informatics is the study and implementation of computer structures and algorithms to improve communication, understanding, and management of medical information. It can be viewed as a branch of engineering and applied science.
Labcorp Drug Development presently known as Fortrea is a contract research organization headquartered in Burlington, North Carolina, providing nonclinical, preclinical, clinical and commercialization services to pharmaceutical and biotechnology industries. Formerly called Covance, the company is a spin-off from Labcorp, which employs more than 70,000 people worldwide.
Personalized medicine, also referred to as precision medicine, is a medical model that separates people into different groups—with medical decisions, practices, interventions and/or products being tailored to the individual patient based on their predicted response or risk of disease. The terms personalized medicine, precision medicine, stratified medicine and P4 medicine are used interchangeably to describe this concept, though some authors and organizations differentiate between these expressions based on particular nuances. P4 is short for "predictive, preventive, personalized and participatory".
Neuroinformatics is the emergent field that combines informatics and neuroscience. Neuroinformatics is related with neuroscience data and information processing by artificial neural networks. There are three main directions where neuroinformatics has to be applied:
A biomedical scientist is a scientist trained in biology, particularly in the context of medical laboratory sciences or laboratory medicine. These scientists work to gain knowledge on the main principles of how the human body works and to find new ways to cure or treat disease by developing advanced diagnostic tools or new therapeutic strategies. The research of biomedical scientists is referred to as biomedical research.
IMS Health was an American company that provided information, services and technology for the healthcare industry. IMS stood for Intercontinental Medical Statistics. It was the largest vendor of U.S. physician prescribing data. IMS Health was founded in 1954 by Bill Frohlich and David Dubow with Arthur Sackler having a hidden ownership stake. In 2010, IMS Health was taken private by TPG Capital, CPP Investment Board and Leonard Green & Partners. The company went public on April 4, 2014, and began trading on the NYSE under the symbol IMS. IMS Health was headquartered in Danbury, Connecticut.
IQVIA, formerly Quintiles and IMS Health, Inc., is an American Fortune 500 and S&P 500 multinational company serving the combined industries of health information technology and clinical research. IQVIA is a provider of biopharmaceutical development, professional consulting and commercial outsourcing services, focused primarily on Phase I-IV clinical trials and associated laboratory and analytical services, including investment strategy and management consulting services. It has a network of more than 88,000 employees in more than 100 countries and a market capitalization of US$49 billion as of August 2021. As of 2023, IQVIA was reported to be one of the world's largest contract research organizations (CRO).
The Cambridge Biomedical Campus is the largest centre of medical research and health science in Europe. The site is located at the southern end of Hills Road in Cambridge, England.
The Center for Study of Gene Structure and Function is a consortium of fifty-three researchers. It is based at Hunter College in Manhattan. It focuses on cross-disciplinary and translational research by promoting dialogue and cooperation among scientists working in diverse biomedical research fields. It is funded by the Research Centers in Minority Institutions (RCMI) program of the National Center for Research Resources(NCRR) of the National Institute of Health (NIH) Since its establishment in 1985, the NIH has awarded the Gene Center over $38 million in federal grants.
John Quackenbush is an American computational biologist and genome scientist. He is a professor of biostatistics and computational biology and a professor of cancer biology at the Dana–Farber Cancer Institute (DFCI), as well as the director of its Center for Cancer Computational Biology (CCCB). Quackenbush also holds an appointment as a professor of computational biology and bioinformatics in the Department of Biostatistics at the Harvard School of Public Health.
Sage Bionetworks is a nonprofit organization in Seattle that promotes open science and patient engagement in the research process. It is led by Luca Foschini. It was co-founded by Stephen Friend and Eric Schadt.
Translational bioinformatics (TBI) is a field that emerged in the 2010s to study health informatics, focused on the convergence of molecular bioinformatics, biostatistics, statistical genetics and clinical informatics. Its focus is on applying informatics methodology to the increasing amount of biomedical and genomic data to formulate knowledge and medical tools, which can be utilized by scientists, clinicians, and patients. Furthermore, it involves applying biomedical research to improve human health through the use of computer-based information system. TBI employs data mining and analyzing biomedical informatics in order to generate clinical knowledge for application. Clinical knowledge includes finding similarities in patient populations, interpreting biological information to suggest therapy treatments and predict health outcomes.
Artificial intelligence in healthcare is the application of artificial intelligence (AI) to copy human cognition in the analysis, presentation, and understanding of complex medical and health care data. It can also augment and exceed human capabilities by providing faster or new ways to diagnose, treat, or prevent disease. Using AI in healthcare has the potential improve predicting, diagnosing and treating diseases. Through machine learning algorithms and deep learning, AI can analyse large sets of clinical data and electronic health records and can help to diagnose the disease more quickly and precisely. In addition, AI is becoming more relevant in bringing culturally competent healthcare practices to the industry.
Merative L.P., formerly IBM Watson Health, is an American medical technology company that provides products and services that help clients facilitate medical research, clinical research, real world evidence, and healthcare services, through the use of artificial intelligence, data analytics, cloud computing, and other advanced information technology. Merative is owned by Francisco Partners, an American private equity firm headquartered in San Francisco, California. In 2022, IBM divested and spun-off their Watson Health division into Merative. As of 2023, it remains a standalone company headquartered in Ann Arbor with innovation centers in Hyderabad, Bengaluru, and Chennai.
Melissa Anne Haendel is an American bioinformaticist who is the Sarah Graham Kenan Distinguished Professor at the UNC School of Medicine. She is also the Director of Precision Health & Translational Informatics, deputy director of Computational Science at The North Carolina Translational and Clinical Sciences Institute. She serves as Director of the Center for Data to Health (CD2H). Her research makes use of data to improve the discovery and diagnosis of diseases. During the COVID-19 pandemic, Haendel joined with the National Institutes of Health to launch the National COVID Cohort Collaborative (N3C), which looks to identify the risk factors that can predict severity of disease outcome and help to identify treatments.
Biological data refers to a compound or information derived from living organisms and their products. A medicinal compound made from living organisms, such as a serum or a vaccine, could be characterized as biological data. Biological data is highly complex when compared with other forms of data. There are many forms of biological data, including text, sequence data, protein structure, genomic data and amino acids, and links among others.
Nvidia GTC is a global artificial intelligence (AI) conference for developers that brings together developers, engineers, researchers, inventors, and IT professionals. Topics focus on AI, computer graphics, data science, machine learning and autonomous machines. Each conference begins with a keynote from Nvidia CEO and founder Jensen Huang, followed by a variety of sessions and talks with experts from around the world.
Biomedical data science is a multidisciplinary field which leverages large volumes of data to promote biomedical innovation and discovery. Biomedical data science draws from various fields including Biostatistics, Biomedical informatics, and machine learning, with the goal of understanding biological and medical data. It can be viewed as the study and application of data science to solve biomedical problems. Modern biomedical datasets often have specific features which make their analyses difficult, including:
