Results 111 to 120 of about 5,170 (214)

Artificial Intelligence and Machine Learning in the Context of Hemophilia: A Scope Review

Haemophilia, EarlyView.
ABSTRACT Introduction Advances in hemophilia treatment have improved life expectancy, yet challenges remain in disease management, predicting clinical complications, and optimizing healthcare resources. Artificial intelligence (AI) and machine learning (ML) have emerged as promising tools to support clinical decision‐making and personalized care ...
Tatyane Oliveira Rebouças, André Cardoso Tavares, Antônio Diego Costa, Cícera Jamille Caldas Rodrigues, Lucilane Maria Sales da Silva   +4 more
wiley   +1 more source

scATAnno: Automated Cell Type Annotation for Single-cell ATAC-seq Data. [PDF]

Genomics Proteomics Bioinformatics
Jiang Y, Hu Z, Lu F, Lynch AW, Jiang J, Zhu A, Zeng Z, Zhang Y, Wu G, Xie Y, Li R, Zhou N, Meyer CA, Cejas P, Brown M, Long HW, Qiu X.   +16 more
europepmc   +1 more source

A Horse Race of Machine‐Learning Methods to Predict Banking Crises

International Finance, EarlyView.
ABSTRACT To examine if one machine‐learning model can consistently elucidate financial vulnerabilities, both over time and across levels of development, this paper applies 13 machine‐learning algorithms to evaluate comparative forecasting performance across several banking crises.
Emile du Plessis
wiley   +1 more source

Unified genomic and chemical representations enable bidirectional biosynthetic gene cluster and natural product retrieval. [PDF]

Sci Rep
Liu G, Li Y, Ong G, Wong FT, Tay DWP, Lim YH, Foo CS, Koh W.   +7 more
europepmc   +1 more source

Developing AI‐driven decision support for the proactive identification and evaluation of financially distressed companies by Belgian commercial courts

International Transactions in Operational Research, EarlyView.
Abstract The early identification and accurate evaluation of financially distressed companies by commercial courts is crucial for maintaining a healthy economic fabric. This enables timely support for struggling companies with recovery potential while also facilitating the swift winding up of those unlikely to recover.
Stijn Van Ruymbeke, Joke Baeck, Klaas Mulier, Thomas Demeester   +3 more
wiley   +1 more source

Praxis-BGM: clustering of omics data using semi-supervised transfer learning for Gaussian mixture models via natural-gradient variational inference. [PDF]

Bioinformatics
Jia Q, Goodrich JA, Conti DV.
europepmc   +1 more source

Mixing It Up: Inflation at Risk

Journal of Money, Credit and Banking, EarlyView.
Abstract Understanding how risk factors shape the economic outlook is essential for guiding policy decisions. This paper develops a flexible framework that decomposes distributional risk forecasts of macro‐economic variables into underlying contributions and supports the construction of interpretable risk measures.
MAXIMILIAN SCHRÖDER
wiley   +1 more source

Adaptive kNN graph model. [PDF]

Nat Commun
Li J, Xu H, Zhang S.
europepmc   +1 more source

Heterodonty in the teeth of the turiasaurian sauropod from Angeac‐Charente (Early Cretaceous, southwestern France): Comparison of anatomical and geometric morphometric approaches

Journal of Anatomy, EarlyView.
Turiasaurian teeth from Angeac‐Charente exhibit five dental morphotypes and reveal clear heterodonty and anteroposterior size gradient. Qualitative comparative anatomy quickly and efficiently identifies morphotypes, while 3D geometric morphometrics combined with machine learning refine ambiguous cases, demonstrating that qualitative and quantitative ...
Clémence Le Gouellec, Ronan Allain, Jean Goedert, Romain Pintore, Jackson Carter, Rafael Royo‐Torres, Dominique Augier, Raphaël Cornette   +7 more
wiley   +1 more source

Dynamic Pressure Ulcer Risk Predictions for Hospitalized Patients: Development and Validation of a Machine Learning Model With Nurses

Journal of Clinical Nursing, EarlyView.
ABSTRACT Aim To develop and validate a dynamic prediction model for daily pressure ulcer risk predictions together with an expert group of nurses. Design Diagnostic study. Methods All admissions to general wards in a single‐center tertiary university hospital in the Netherlands were included.
Steffen Greup, Denise Spoon, Annemarie de Vroed, Ben Werkhoven, Enrico Timmerman, Monique van Dijk, Erwin Ista   +6 more
wiley   +1 more source