In this era of information technology, big data analysis is entering biomedical sciences. But what is big data, where do they come from and what can we do with it? In this commentary, the main sources of big data are explained, especially in (head and neck) oncology. It also touches upon the need to integrate various sources of clinical, pathological and quality-of-life data. It discusses some initiatives in linking of such datasets on a nation-wide scale in the Netherlands. Finally, it touches upon important issues regarding governance, FAIRness of data and the need to bring into place the necessary infrastructures needed to fully exploit the full potential of big data sets in head and neck cancer.
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http://dx.doi.org/10.1016/j.oraloncology.2019.09.003 | DOI Listing |
ACS Nano
January 2025
NOVA Medical School|Faculdade de Ciências Médicas, NMS|FCM, Universidade NOVA de Lisboa, Lisbon 1169-056, Portugal.
The "" under this Perspective underline the importance of interdisciplinary collaboration and partnerships across several disciplines, such as medical science and technology, medicine, bioengineering, and computational approaches, in bridging the gap between research, manufacturing, and clinical applications. Effective communication is key to bridging team gaps, enhancing trust, and resolving conflicts, thereby fostering teamwork and individual growth toward shared goals. Drawing from the success of the COVID-19 vaccine development, we advocate the application of similar collaborative models in other complex health areas such as nanomedicine and biomedical engineering.
View Article and Find Full Text PDFAppl Biochem Biotechnol
January 2025
Department of Life Science and Biochemical Engineering, Graduate School, SunMoon University, Asan, 31460, Republic of Korea.
Antarctic organisms are known for producing unique secondary metabolites, and this study specifically focuses on the less-explored metabolites of the moss Warnstorfia fontinaliopsis. To evaluate their potential bioactivity, we extracted secondary metabolites using four different solvents and identified significant lipase inhibitory activity in the methanol extract. Non-targeted metabolomic analysis using liquid chromatography-tandem mass spectrometry (LC-MS/MS) on this extract predicted the presence of 12 compounds, including several not previously reported in mosses.
View Article and Find Full Text PDFVis Comput Ind Biomed Art
January 2025
School of Engineering Medicine and School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191, China.
Fluorescence endoscopy technology utilizes a light source of a specific wavelength to excite the fluorescence signals of biological tissues. This capability is extremely valuable for the early detection and precise diagnosis of pathological changes. Identifying a suitable experimental approach and metric for objectively and quantitatively assessing the imaging quality of fluorescence endoscopy is imperative to enhance the image evaluation criteria of fluorescence imaging technology.
View Article and Find Full Text PDFHealthcare (Basel)
December 2024
Union Square Medical Associates, 595 Buckingham Way, Suite 350, San Francisco, CA 94132, USA.
Background/objectives: Although eligibility criteria for clinical trials significantly impact study outcomes, these criteria are often established without scientific justification, leading to delayed recruitment, small sample sizes, and limited study generalizability. Persistent Lyme disease (PLD) presents unique challenges due to symptom variability, inconsistent treatment responses, and the lack of reliable biomarkers, underscoring the need for scientifically justified eligibility criteria.
Objective: This study examines the effects of commonly used enrollment criteria on sample yield in PLD clinical trials using real-world data (RWD) from the MyLymeData patient registry.
Big Data
January 2025
Department of Engineering Management, University of Antwerp, Antwerp, Belgium.
Our online lives generate a wealth of behavioral records--which are stored and leveraged by technology platforms. These data can be used to create value for users by personalizing services. At the same time, however, it also poses a threat to people's privacy by offering a highly intimate window into their private traits (e.
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