Results 111 to 120 of about 63,594 (281)

Data Mining in Real-World Traditional Chinese Medicine Clinical Data Warehouse

, 2013
No Real-world clinical setting is the major arena of traditional Chinese medicine (TCM) as it has experienced long-term practical clinical activities, and developed established theoretical knowledge and clinical solutions suitable for personalized treatment.
Zhou, X., Liu, B., Zhang, X., Xie, Q., Zhang, R., Wang, Y., Peng, Yonghong   +6 more
openaire   +2 more sources

DeepMapper: Attention‐Based AutoEncoder for System Identification in Wound Healing and Stage Prediction

Advanced Intelligent Discovery, EarlyView.
The authors develop a deep learning model for real‐time tracking of wound progression. The deep learning framework maps the nonlinear evolution of a time series of images to a latent space, where they learn a linear representation of the dynamics. The linear model is interpretable and suitable for applications in feedback control.
Fan Lu, Ksenia Zlobina, Michael Briden, Oscar Avalos, Héctor Carrión, Sebastian Osorio, Hsin‐ya Yang, Alexandra Nava, Michelle D. Bagood, Marco Rolandi, Roslyn Rivkah Isseroff, Marcella Gomez   +11 more
wiley   +1 more source

Replicating medication trend studies using ad hoc information extraction in a clinical data warehouse

BMC Medical Informatics and Decision Making, 2019
Background Medication trend studies show the changes of medication over the years and may be replicated using a clinical Data Warehouse (CDW). Even nowadays, a lot of the patient information, like medication data, in the EHR is stored in the format of ...
Georg Dietrich, Jonathan Krebs, Leon Liman, Georg Fette, Maximilian Ertl, Mathias Kaspar, Stefan Störk, Frank Puppe   +7 more
doaj   +1 more source

Heterogeneous biomedical database integration using a hybrid strategy: a p53 cancer research database. [PDF]

, 2006
Complex problems in life science research give rise to multidisciplinary collaboration, and hence, to the need for heterogeneous database integration. The tumor suppressor p53 is mutated in close to 50% of human cancers, and a small drug-like molecule ...
Bichutskiy, Vadim Y, Brachmann, Rainer K, Colman, Richard, Lathrop, Richard H   +3 more
core  

Enabling Clinical Data Reuse with openEHR Data Warehouse Environments

, 2015
Modern medicine needs methods to enable access to data captured during health care for research, surveillance, decision support and other secondary uses. Initiatives like the National Patient Centered Clinical Research Network in the US and the Electronic Health Records for Clinical Research in the EU are facilitating the reuse of Electronic Health ...
Marco-Ruiz, Luis, Gutiérrez, Pablo Pazos, Atalag, Koray, Bellika, Johan Gustav, Kassaye Yitbarek Yigzaw   +4 more
openaire   +1 more source

Autonomous AI‐Driven Design for Skin Product Formulations

Advanced Intelligent Discovery, EarlyView.
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang, Yongrui Xiao, Chunlin Chen, Dimitrios Tsaoulidis, Kai Yang, Tao Chen   +5 more
wiley   +1 more source

When Biology Meets Medicine: A Perspective on Foundation Models

Advanced Intelligent Discovery, EarlyView.
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu, Yuxing Wang, Limin Zou, Jing Huang   +3 more
wiley   +1 more source

Derivation and Validation of an In‐Hospital Mortality Prediction Model Suitable for Profiling Hospital Performance in Heart Failure

Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, 2018
BackgroundComparing heart failure (HF) outcomes across hospitals requires adequate risk adjustment. We aimed to develop and validate a model that can be used to compare quality of HF care across hospitals.
Tara Lagu, Penelope S. Pekow, Mihaela S. Stefan, Meng‐Shiou Shieh, Quinn R. Pack, Mohammad Amin Kashef, Auras R. Atreya, Gregory Valania, Mara T. Slawsky, Peter K. Lindenauer   +9 more
doaj   +1 more source

A Robust Deep Temporal Causal Discovery Platform for Single‐Cell Gene Regulatory Network Reconstruction

Advanced Intelligent Discovery, EarlyView.
scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta, Madison Dautle, Shaoqiang Zhang, Yong Chen   +3 more
wiley   +1 more source

NephCure Accelerating Cures Institute: A Multidisciplinary Consortium to Improve Care for Nephrotic Syndrome

Kidney International Reports, 2018
NephCure Accelerating Cures Institute (NACI) is a collaborative organization sponsored by NephCure Kidney International and the University of Michigan. The Institute is composed of 7 cores designed to improve treatment options and outcomes for patients ...
Debbie S. Gipson, David T. Selewski, Susan F. Massengill, Mary Margaret Modes, Hailey Desmond, Lauren Lee, Elaine Kamil, Matthew R. Elliott, Sharon G. Adler, Gia Oh, Richard A. Lafayette, Patrick E. Gipson, Aditi Sinha, Arvind Bagga, Anne Pesenson, Cheryl Courtlandt, Cathie Spino, Richard Eikstadt, Renée Pitter, Samara Attalla, Anne Waldo, Richard Winneker, Noelle E. Carlozzi, Jonathan P. Troost, Irving Smokler, Mark Stone   +25 more
doaj   +1 more source