Results 121 to 130 of about 1,578,829 (286)

Multivariate Linear Regression [PDF]

, 2022
Gregory C. Reinsel, Raja P. Velu, Kun Chen   +2 more
openaire   +2 more sources

Smartphone-Based Colorimetric Platform with RGB-CIELAB Multivariate Regression and 3D-Printed Illumination for Portable Multi-Analyte Detection

Jurnal Elektronika dan Telekomunikasi
Smartphone-based colorimetry has become a promising alternative to bulky and expensive spectrophotometers for portable and field analysis. This study aims to develop Colorizer, a modular smartphone-based colorimetric platform that provides accurate and ...
Robeth Viktoria Manurung, Jonathan Edwards Telaumbanua, Richard Anthony Lim, Winda Astuti, Dedi Mada, Agustina Sus Andreani   +5 more
doaj   +1 more source

Efficacy and Safety Assessment of 5‐Fluorouracil, Irinotecan and Oxaliplatin‐Loaded Implants in Mouse and Pig Models for Pancreatic Cancer Therapy

Advanced Materials, EarlyView.
A novel FIRINOX‐loaded implant demonstrates controlled drug release, and potent therapeutic efficacy in pancreatic ductal adenocarcinoma mouse models with safety confirmed in a large‐animal pre‐clinical model. This innovative drug delivery platform offers a promising new treatment approach for non‐resectable, treatment‐resistant pancreatic cancer ...
Samantha J. Wade, Ashna A. Kumar, Samuel O. Nitschke, Paul Joyce, Elahe Minaei, Stephanie E. Reuter, Chelsea Penney, Holly Warren, Ruby Shepherd, Jeremy N. Dinoro, Gordon G. Wallace, Anthony Dosseto, Sameera Ansar, Naila Islam, Alistair Lochhead, George Sharbeen, Phoebe A. Phillips, Morteza Aghmesheh, Wayne J. Hawthorne, Kara L. Vine‐Perrow   +19 more
wiley   +1 more source

The multivariate least trimmed squares estimator. [PDF]

In this paper we introduce the least trimmed squares estimator for multivariate regression. We give three equivalent formulations of the estimator and obtain its breakdown point. A fast algorithm for its computation is proposed.
Agullo, J, Croux, Christophe, Van Aelst, S   +2 more
core  

End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips

Advanced Materials Technologies, EarlyView.
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane, Lyn I. Jones, Richard M. Martin, Helen Winter, Faezeh Arab Hassani   +4 more
wiley   +1 more source

Microfluidic Hydroporation Platform for Effective Allogeneic CAR‐T Cell Production and Subsequent Functional Cytotoxicity Analysis

Advanced Materials Technologies, EarlyView.
The hydroporator platform employs controlled hydrodynamic deformation for efficient mRNA and CRISPR/Cas9 delivery into primary human T cells, enabling allogeneic CAR‐T cell manufacturing. It preserves cell functionality and drives potent gene editing, CAR expression, and tumor cytotoxicity, while feature‐based analysis links these functional outcomes ...
Soohyun Jeon, Sein Kim, Hyun‐Young Kim, Duck Cho, Sungsu Park, Seohyun Kim, Aram J. Chung   +6 more
wiley   +1 more source

GeNetFormer: Transformer-Based Framework for Gene Expression Prediction in Breast Cancer

AI
Background: Histopathological images are often used to diagnose breast cancer and have shown high accuracy in classifying cancer subtypes. Prediction of gene expression from whole-slide images and spatial transcriptomics data is important for cancer ...
Oumeima Thaalbi, Moulay A. Akhloufi
doaj   +1 more source

Cell Cycle Control of Nuclear Metabolism Couples Phosphatidylinositol Signaling to Histone Methylation

Advanced Science, EarlyView.
Nuclear metabolism oscillates during cell cycle progression. Quantitative chromatome proteomics and imaging reveal phase‐specific dynamics of PIP5K1A and nuclear PIP2, linking phosphatidylinositol metabolism to histone methylation. This work identifies nuclear lipid metabolism as a previously unrecognized regulatory axis coordinating chromatin ...
Antoni Gañez‐Zapater, Savvas Kourtis, Camilla Reiter Elbæk, Lorena Espinar, Carolina Toro‐Márquez, Albert Coll‐Manzano, Alfredo Smiriglia, Laura García‐López, Laura Wiegand, Maria Guirola, Frédéric Fontaine, Andrea Morandi, André C. Müller, Sara Sdelci   +13 more
wiley   +1 more source

PD‐1 Inhibits CD4+ TRM‐Mediated cDC1 Mobilization via Suppressing JAML in Human NSCLC

Advanced Science, EarlyView.
CD4+ tissue‐resident memory T cells (TRMs) in non‐small cell lung cancer recruit conventional type 1 dendritic cells via XCL1‐XCR1 signaling, orchestrating antitumor immunity. The costimulatory molecule JAML is essential for this process. PD‐1 blockade restores JAML expression and cDC1 mobilization, while JAML agonists synergize with anti‐PD‐1 therapy,
Zheyu Shao, Qinyuan Liu, Zhongwei Xin, Zhiyao Zhou, Mingjie Lin, Di Chen, Zhixing Hao, Yongyuan Chen, Wenxuan Wu, Shuyang Zhang, Xiaoke Chen, Xia Xu, Jinfan Li, Wei Lin, Yuhao Lu, Dang Wu, Pin Wu   +16 more
wiley   +1 more source

Machine‐Learning Decomposition Identifies a Big Two Structure in Human Personality with Distinct Neurocognitive Profiles

Advanced Science, EarlyView.
Using machine learning on a mega‐scale global dataset (n = 1,336,840) reveals a robust personality trait architecture beyond the Big Five. A Big Two model, broadly capturing social engagement and internal mentation, defines a geometric space that links personality to neurocognitive profiles.
Kaixiang Zhuang, Ji Chen, Jinfeng Han, Wei Cheng, Jiang Qiu, Jianfeng Feng, Simon Eickhoff, Deniz Vatansever   +7 more
wiley   +1 more source