Results 181 to 190 of about 21,080,479 (286)

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

Near-Infrared Light-Responsive Liposomes for Modulating Switchable CAR-T Cell Therapy. [PDF]

Int J Nanomedicine
Lu G, Zhang H, Wang H, Gao X, Zhang K, Song Y, Kong L, Zhu M, Zou H, Lu Y.   +9 more
europepmc   +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, Where, and How Much: Toward Smarter Design and Delivery of CAR T‑Cell Therapy. [PDF]

ACS Bio Med Chem Au
Sathiyamoorthy E, Poole NH, Gustafson HH.   +2 more
europepmc   +1 more source

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source

The Conflicting Role of Myeloid Cells in CAR T-Cell Therapy. [PDF]

Cancer Res
DeFranco G, Siegler EL, Kenderian SS.
europepmc   +1 more source

Engineering Intelligent iPSC Biomanufacturing: Integrating Robotic Automation, AI, and Process Control

Advanced Intelligent Systems, EarlyView.
This review highlights recent advances in automated iPSC culture systems integrating robotics, advanced imaging, artificial intelligence, and process control. These technologies improve reproducibility, scalability, and quality in cell expansion, differentiation, and real‐time monitoring, while emerging AI‐enabled and closed‐loop approaches offer new ...
Hyoryong Lee, Roma Desai, Byunggik Kim, Deok‐Ho Kim   +3 more
wiley   +1 more source

Bispecific ANXA2/CD147 CAR-T cell therapy for osteosarcoma. [PDF]

Oncogene
Tang HJ, Dai W, Xiao DT, Li HN, Xiong L, Yang MX, Liang JM, Zou Z, Mai L, Li SH, Liu SY, Feng WY, Lin YH, He ML, Zhan XL, Liu Y.   +15 more
europepmc   +1 more source

Chromosomal Abnormalities, Drug Sensitivity and Resistance in Hematological Malignancies: A Comprehensive Overview by the Francophone Group of Hematological Cytogenetics (GFCH)

American Journal of Hematology, EarlyView.
ABSTRACT Chromosomal abnormalities have a major clinical impact on hematological malignancies, particularly with regard to treatment strategies. To preserve and consolidate fundamental knowledge in this rapidly evolving field, the Francophone Group of Hematological Cytogenetics (Groupe Francophone de Cytogénétique Hématologique, GFCH) conducted a ...
Florence Nguyen‐Khac, Audrey Bidet, Elise Chapiro, Nathalie Douet‐Guilbert, Jean‐Baptiste Gaillard, Nada Assaf, Nathalie Auger, Hend Chaker, Jasmine Chauzeix, Inge Govaerts, Hippolyte Guérineau, Christine Lefebvre, Pauline Roynard, Hélène Guermouche, Lucienne Michaux, Marie‐Bérengère Troadec, Lauren Véronèse   +16 more
wiley   +1 more source

Proteomic Profiling of Nodal T‐Follicular Helper Cell Lymphoma Reveals Distinct Biological Signatures and Improves Prognostic Stratification Beyond the IPI

American Journal of Hematology, EarlyView.
ABSTRACT Nodal T‐follicular helper cell lymphoma (nTFHL), most commonly of angioimmunoblastic type, exhibits heterogeneous clinical outcomes that are not fully explained by current clinical and biological variables. While genetic alterations have been extensively investigated, its proteomic landscape remains largely unexplored.
David Beauvais, Yanis Zirem, Tristan Cardon, Soulaimane Aboulouard, Romain Dubois, Isabelle Fournier, Franck Morschhauser, Michel Salzet, Ibrahim Yakoub‐Agha, Marie Duhamel   +9 more
wiley   +1 more source