Results 161 to 170 of about 79,242 (197)

Dataset for: Gradient-based optimization with B-splines on sparse grids for solving forward-dynamics simulations of three-dimensional, continuum-mechanical musculoskeletal system models

, 2018
Julian Valentin, M. Sprenger, Dirk Pflüger, Oliver Röhrle   +3 more
openalex   +1 more source

Adaptable graph region for optimizing performance in dynamic system long-term forecasting via time-aware expert. [PDF]

Nat Commun
Peng X, Liu Z, Zhang P, Chen Y, Shao Z, Zhao H, Xie X, Jiang L, Huang Z, Pan Z, Yan J, Yin B, Xiang P.   +12 more
europepmc   +1 more source

Model‐informed precision dosing of carboplatin in cancer patients by leveraging myelosuppression data from electronic health records

British Journal of Clinical Pharmacology, EarlyView.
Abstract Aims This study aimed to develop and validate a population pharmacokinetic‐pharmacodynamic (pop‐PK‐PD) model to describe carboplatin‐induced myelosuppression in cancer patients and support dose individualization. Methods Data from 580 cancer patients treated with carboplatin at Amsterdam UMC between 2019 and 2022 were used for model ...
Alessandro De Carlo, Elena Maria Tosca, Mirjam Crul, Tim Schutte, Lia van Zuijlen, Idris Bahce, Medhat M. Said, Jan Buter, Harmen Huls, Paolo Magni, Imke Bartelink   +10 more
wiley   +1 more source

Using a pruned basis and a sparse collocation grid with more points than basis functions to do efficient and accurate MCTDH calculations with general potential energy surfaces [PDF]

Robert Wodraszka, Tucker Carrington
openalex   +1 more source

Letter to the Editor Re: Moghib K, Ahmed MT, Ghanm TIE, et al. Optimal duration of postoperative drainage following burr-hole surgery for chronic subdural hematoma: a systematic review and network meta-analysis. Langenbeck's archives of Surgery. 2025;410:278. doi:10.1007/s00423-025-03853-y. [PDF]

Langenbecks Arch Surg
Schack A, Grønhøj MH, Poulsen FR, Haldrup M, Miscov R, Bjarkam CR, Korshøj AR, Fugleholm K, Jensen TSR.   +8 more
europepmc   +1 more source

Mechanism‐informed machine learning for individualized tacrolimus dose adjustment in the early post‐kidney transplant period

British Journal of Clinical Pharmacology, EarlyView.
Abstract Aim Tacrolimus dosing in the early post‐kidney transplant period is challenging due to a narrow therapeutic index and substantial interindividual pharmacokinetic (PK) variability. This study aimed to develop and validate mechanism‐informed machine learning (ML) models to support individualized tacrolimus dosing during this critical period ...
Hui Yu, Zihan Qin, Logan S. Smith, Jeong M. Park, Hao‐Jie Zhu   +4 more
wiley   +1 more source

Speckle-driven single-shot orbital angular momentum recognition with ultra-low sampling density. [PDF]

Nat Commun
Wang Z, Li H, Zhong T, Zhao Q, R V V, Li H, Yu Z, Pu J, Chen Z, Yuan X, Lai P.   +10 more
europepmc   +1 more source

A Guide to Bayesian Optimization in Bioprocess Engineering

Biotechnology and Bioengineering, EarlyView.
ABSTRACT Bayesian optimization has become widely popular across various experimental sciences due to its favorable attributes: it can handle noisy data, perform well with relatively small data sets, and provide adaptive suggestions for sequential experimentation.
Maximilian Siska, Emma Pajak, Katrin Rosenthal, Antonio del Rio Chanona, Eric von Lieres, Laura M. Helleckes   +5 more
wiley   +1 more source

Single-shot incoherent imaging with extended and engineered field of view using coded phase apertures. [PDF]

Sci Rep
Sure SD, Desai JP, Rosen J.
europepmc   +1 more source

Mediated Electrochemical Probing and Machine Learning for Cysteine and Reduced Monoclonal Antibody Quantification

Biotechnology and Bioengineering, EarlyView.
ABSTRACT Biopharmaceutical manufacturing requires robust analytics and process controls throughout production to insure high yield of quality products. New methodologies for rapidly accessing and integrating data‐rich information from complex dynamic biological environments are of great interest.
Kayla Chun, Varun Kochar, Evelyn Jaskowiak, Chen‐Yu Chen, Divya Muthusamy, Dana Motabar, Eunkyoung Kim, Gregory F. Payne, William E. Bentley   +8 more
wiley   +1 more source