Results 81 to 90 of about 2,886 (240)

Supplemental Table S5 from Risk of Gastric Adenocarcinoma in a Multiethnic Population Undergoing Routine Care: An Electronic Health Records Cohort Study

Supplemental Table S5: Incidence of gastric adenocarcinomas (GAC), excluding cardia GAC and excluding C16.8, C16.9. Person-years (p-y) at risk, cancer count, and incidence per 100,000 p-y reported by characteristic. GAC counts
Summer S. Han (15004407), Tony Chen (18294880), Sanjay Ramrakhiani (18294886), Su-Ying Liang (18294895), Meghan C. Martinez (18294883), Satish Mudiganti (18294877), Joo Ha Hwang (18294889), Edward S. Huang (18294874), Latha P. Palaniappan (18294892), Robert J. Huang (15028106)   +9 more
core   +1 more source

Patient-Centric Approach to Personalized Electronic Medical Records via QR Code in Japan

Interactive Journal of Medical Research
Government policies in the United States and the European Union promote standardization and value creation in the use of FAIR (findability, accessibility, interoperability, and reusability) data, which can enhance trust in digital health ...
Yoshihiko Izumida, Takashi Omura, Masahiro Fujiwara, Shoko Nukaya, Akio Yoneyama, Sow Boubacar, Shinichiro Yabe, Rika Noguchi, Shima Nakayama, Wataru Muraoka, Yuki Okuno, Sho Miyashita, Yurika Ishihara, Yuto Moriwaki, Ryoji Otani, Junichiro Adachi, Kenichiro Tanabe, Yoshihisa Yamano, Yasushi Takai, Masaru Honjo   +19 more
doaj   +1 more source

Smart Nanotechnologies for Multimodal Neuromodulation and Brain Interfacing

Advanced Science, EarlyView.
Recent advances in smart nanotechnologies are expanding the toolbox for brain interfacing, from wireless neuromodulation and high‐resolution sensing to targeted delivery within the central nervous system. By combining responsive nanomaterials with bioinspired design, these platforms enable multimodal interactions with neurons and glia, while also ...
Tommaso Curiale, Marie Celine Lefevre, Alessio Carmignani, Maria Cristina Ceccarelli, Matteo Battaglini, Attilio Marino, Gianni Ciofani   +6 more
wiley   +1 more source

Supplemental Table S8 from Risk of Gastric Adenocarcinoma in a Multiethnic Population Undergoing Routine Care: An Electronic Health Records Cohort Study

Supplemental Table S8: Univariable and multivariable predictors of gastric adenocarcinoma (GAC), excluding cardia GACs and C16.8, C16.9. Hazard ratios (HRs) with 95% confidence intervals (Cis) are presented in both univariable and multivariable analysis.
Summer S. Han (15004407), Tony Chen (18294880), Sanjay Ramrakhiani (18294886), Su-Ying Liang (18294895), Meghan C. Martinez (18294883), Satish Mudiganti (18294877), Joo Ha Hwang (18294889), Edward S. Huang (18294874), Latha P. Palaniappan (18294892), Robert J. Huang (15028106)   +9 more
core   +1 more source

Creation of Standardized Common Data Elements for Diagnostic Tests in Infectious Disease Studies: Semantic and Syntactic Mapping

Journal of Medical Internet Research
BackgroundIt is necessary to harmonize and standardize data variables used in case report forms (CRFs) of clinical studies to facilitate the merging and sharing of the collected patient data across several clinical studies.
Caroline Stellmach, Sina Marie Hopff, Thomas Jaenisch, Susana Marina Nunes de Miranda, Eugenia Rinaldi   +4 more
doaj   +1 more source

An Efficient Biological Codon Recognition Reservoir Computing System Based on Low‐Energy Epitaxial Hf0.52Zr0.48O2 Ferroelectric Memristors

Advanced Science, EarlyView.
This work reports on epitaxially grown Hf0.52Zr0.48O2 ferroelectric memristors with high stability (high durability exceeding 108 cycles and a retention time exceeding 104 s for 16 states) and ultra‐low operating energy consumption (∼121 fJ). A memristor array‐based reservoir computing system is constructed and applied for the first time in the field ...
Ying Liu, Jikang Xu, Yongqing Jia, Wenxuan Wang, Weifeng Zhang, Biao Yang, Xiaobing Yan   +6 more
wiley   +1 more source

SILAM: Integrating Laboratory Information System within the Liguria Region Electronic Health Record

, 2014
In the last few years a significant challenge has been faced in the healthcare world, after the development of the LOINC (Logical Observation Identifiers Names And Codes) and the HL7 (Health level 7) standards; in order to provide systems of ...
Alessandro Tagliati, TAGLIATI, ALESSANDRO, Valeria Pupella, Roberta Gazzarata, GAZZARATA, ROBERTA, PUPELLA, VALERIA, GIACOMINI, MAURO, Mauro Giacomini   +7 more
core   +1 more source

Breaking Digital Health Barriers Through a Large Language Model–Based Tool for Automated Observational Medical Outcomes Partnership Mapping: Development and Validation Study

Journal of Medical Internet Research
BackgroundThe integration of diverse clinical data sources requires standardization through models such as Observational Medical Outcomes Partnership (OMOP).
Meredith CB Adams, Matthew L Perkins, Cody Hudson, Vithal Madhira, Oguz Akbilgic, Da Ma, Robert W Hurley, Umit Topaloglu   +7 more
doaj   +1 more source

Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design

Advanced Science, EarlyView.
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram, Mohit Chakraborty, Sai Mani Kumar Devathi, B. Pabitramohan Prusty, Rohit Batra   +4 more
wiley   +1 more source

Laborwerte und klinische Untersuchungen verschlüsseln - neues LOINC-System beim DIMDI

, 2007
Logical Observation Identifiers Names and Codes (LOINC) dienen der eindeutigen Verschlüsselung von Untersuchungen, insbesondere im Laborbereich, und damit dem effektiven Datenaustausch zwischen EDV-Systemen in Klinik, Arztpraxis und Labor.
Müller, W
core