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Prediction of Clinical Trials Outcomes Based on Target Choice and Clinical Trial Design with Multi-Modal Artificial Intelligence.
Aliper A, Kudrin R, Polykovskiy D, Kamya P, Tutubalina E, Chen S, Ren F, Zhavoronkov A. Aliper A, et al. Clin Pharmacol Ther. 2023 Nov;114(5):972-980. doi: 10.1002/cpt.3008. Epub 2023 Aug 10. Clin Pharmacol Ther. 2023. PMID: 37483175 Review.
The platform combines an ensemble of clinical trial outcome prediction engines that leverage generative artificial intelligence and multimodal data, including omics, text, clinical trial design, and small molecule properties. inClinico was validated in retrospective, quasi-prospe …
The platform combines an ensemble of clinical trial outcome prediction engines that leverage generative artificial intelligence and multimod …
Guideline for allergological diagnosis of drug hypersensitivity reactions: S2k Guideline of the German Society for Allergology and Clinical Immunology (DGAKI) in cooperation with the German Dermatological Society (DDG), the Association of German Allergologists (ÄDA), the German Society for Pediatric Allergology (GPA), the German Contact Dermatitis Research Group (DKG), the German Society for Pneumology (DGP), the German Society of Otorhinolaryngology, Head and Neck Surgery, the Austrian Society of Allergology and Immunology (ÖGAI), the Austrian Society of Dermatology and Venereology (ÖGDV), the German Academy of Allergology and Environmental Medicine (DAAU), and the German Documentation Center for Severe Skin Reactions (dZh).
Brockow K, Wurpts G, Trautmann A, Pfützner W, Treudler R, Bircher AJ, Brehler R, Buhl T, Dickel H, Fuchs T, Jakob T, Kurz J, Kreft B, Lange L, Merk HF, Mockenhaupt M, Mülleneisen N, Ott H, Ring J, Ruëff F, Sachs B, Sitter H, Wedi B, Wöhrl S, Worm M, Zuberbier T. Brockow K, et al. Allergol Select. 2023 Aug 9;7:122-139. doi: 10.5414/ALX02422E. eCollection 2023. Allergol Select. 2023. PMID: 37705676 Free PMC article.
Navigating Transcriptomic Connectivity Mapping Workflows to Link Chemicals with Bioactivities.
Shah I, Bundy J, Chambers B, Everett LJ, Haggard D, Harrill J, Judson RS, Nyffeler J, Patlewicz G. Shah I, et al. Chem Res Toxicol. 2022 Nov 21;35(11):1929-1949. doi: 10.1021/acs.chemrestox.2c00245. Epub 2022 Oct 27. Chem Res Toxicol. 2022. PMID: 36301716 Free PMC article. Review.
Screening new compounds for potential bioactivities against cellular targets is vital for drug discovery and chemical safety. ...In addition to serving as a high-level guide and tutorial for understanding and implementing connectivity mapping workflows, we hope this review …
Screening new compounds for potential bioactivities against cellular targets is vital for drug discovery and chemical safety. ...In a …
What are we optimizing for in autism screening? Examination of algorithmic changes in the M-CHAT.
Schjølberg S, Shic F, Volkmar FR, Nordahl-Hansen A, Stenberg N, Torske T, Larsen K, Riley K, Sukhodolsky DG, Leckman JF, Chawarska K, Øien RA. Schjølberg S, et al. Autism Res. 2022 Feb;15(2):296-304. doi: 10.1002/aur.2643. Epub 2021 Nov 26. Autism Res. 2022. PMID: 34837355 Free PMC article.
The present study objectives were to examine the performance of the new M-CHAT-R algorithm to the original M-CHAT algorithm. The main purpose was to examine if the algorithmic changes increase identification of children later diagnosed with ASD, and to …
The present study objectives were to examine the performance of the new M-CHAT-R algorithm to the original M-CHAT algorithm …
Reconfigurable Compute-In-Memory on Field-Programmable Ferroelectric Diodes.
Liu X, Ting J, He Y, Fiagbenu MMA, Zheng J, Wang D, Frost J, Musavigharavi P, Esteves G, Kisslinger K, Anantharaman SB, Stach EA, Olsson RH 3rd, Jariwala D. Liu X, et al. Nano Lett. 2022 Sep 28;22(18):7690-7698. doi: 10.1021/acs.nanolett.2c03169. Epub 2022 Sep 19. Nano Lett. 2022. PMID: 36121208 Free PMC article.
A key challenge in the construction of CIM architectures is the conflicting trade-off between the performance and their flexibility for various essential data operations. ...
A key challenge in the construction of CIM architectures is the conflicting trade-off between the performance and their flexibility f …
Self-architectural knowledge distillation for spiking neural networks.
Qiu H, Ning M, Song Z, Fang W, Chen Y, Sun T, Ma Z, Yuan L, Tian Y. Qiu H, et al. Neural Netw. 2024 Oct;178:106475. doi: 10.1016/j.neunet.2024.106475. Epub 2024 Jun 19. Neural Netw. 2024. PMID: 38941738
Spiking neural networks (SNNs) have attracted attention due to their biological plausibility and the potential for low-energy applications on neuromorphic hardware. Two mainstream approaches are commonly used to obtain SNNs, i.e., ANN-to-SNN conversion methods, and Directl …
Spiking neural networks (SNNs) have attracted attention due to their biological plausibility and the potential for low-energy application …
Rapid and accurate bacteria identification through deep-learning-based two-dimensional Raman spectroscopy.
Liu Y, Gao Y, Niu R, Zhang Z, Lu GW, Hu H, Liu T, Cheng Z. Liu Y, et al. Anal Chim Acta. 2024 Dec 15;1332:343376. doi: 10.1016/j.aca.2024.343376. Epub 2024 Oct 29. Anal Chim Acta. 2024. PMID: 39580159
Surface-enhanced Raman spectroscopy (SERS) offers a distinctive vibrational fingerprint of the molecules and has led to widespread applications in medical diagnosis, biochemistry, and virology. With the rapid development of artificial intelligence (AI) technology, AI-enabl …
Surface-enhanced Raman spectroscopy (SERS) offers a distinctive vibrational fingerprint of the molecules and has led to widespread applic …
Velocity and Color Estimation Using Event-Based Clustering.
Lesage X, Tran R, Mancini S, Fesquet L. Lesage X, et al. Sensors (Basel). 2023 Dec 11;23(24):9768. doi: 10.3390/s23249768. Sensors (Basel). 2023. PMID: 38139614 Free PMC article.
Consequently, the clustering algorithm forms similar event groups while simultaneously estimating their attributes. This work proposes taking advantage of additional event information in order to provide new attributes for further processing. ...These events may be …
Consequently, the clustering algorithm forms similar event groups while simultaneously estimating their attributes. This work propose …
Optimization of investment strategies through machine learning.
Li J, Wang X, Ahmad S, Huang X, Khan YA. Li J, et al. Heliyon. 2023 May 11;9(5):e16155. doi: 10.1016/j.heliyon.2023.e16155. eCollection 2023 May. Heliyon. 2023. PMID: 37229166 Free PMC article.
The main objective of this research is to develop a sustainable stock quantitative investing model based on Machine Learning and Economic Value-Added techniques for optimizing investment strategies. Quantitative stock selection and algorithmic trading are the two fe …
The main objective of this research is to develop a sustainable stock quantitative investing model based on Machine Learning and Economic Va …
Penalized logistic regression with prior information for microarray gene expression classification.
Genç M. Genç M. Int J Biostat. 2022 Nov 25;20(1):107-122. doi: 10.1515/ijb-2022-0025. eCollection 2024 May 1. Int J Biostat. 2022. PMID: 36427223
In this paper, a new penalized logistic regression method that performs simultaneous gene coefficient estimation and variable selection in DNA microarray data is discussed. The method employs prior information about the gene coefficients to improve the classification accur …
In this paper, a new penalized logistic regression method that performs simultaneous gene coefficient estimation and variable selecti …
73 results