Results 201 to 210 of about 7,127,658 (298)

Correction: Optimizing C-TIRADS for sub-centimeter thyroid nodules using machine learning-derived feature importance. [PDF]

Front Endocrinol (Lausanne)
Guo D, Lin Z, Wang J, Liao X, Huang H, Zhai Y, Chen Z.   +6 more
europepmc   +1 more source

Hijacking emergency granulopoiesis: Neutrophil ontogeny and reprogramming in cancer

Molecular Oncology, EarlyView.
Neutrophils are highly plastic innate immune cells; their functions in cancer extend beyond the tumour microenvironment. This Review summarises current understanding of neutrophil maturation and heterogeneity and highlights tumour‐induced granulopoiesis as a systemic programme that expands immature, immunosuppressive neutrophils via tumour‐derived ...
Gabriela Marinescu, Yi Feng
wiley   +1 more source

Optimizing C-TIRADS for sub-centimeter thyroid nodules using machine learning-derived feature importance. [PDF]

Front Endocrinol (Lausanne)
Guo D, Lin Z, Wang J, Liao X, Huang H, Zhai Y, Chen Z.   +6 more
europepmc   +1 more source

Developmental programmes drive cellular plasticity, disease progression and therapy resistance in lung adenocarcinoma

Molecular Oncology, EarlyView.
This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska, Stephany Gallardo, Nur S. Zainal, Leena Arora, Matthew Ellis, Maria‐Antoinette Lopez, Judith Austine, Sai Pittla, Serena J Chee, Aiman Alzetani, Emily C Shaw, Christian H Ottensmeier, Gareth J Thomas, Christopher J Hanley   +13 more
wiley   +1 more source

YOLOv5 Attention Analysis for Anterior Eye Disease Classification: Grad-CAM++ Feature Importance and Cut-and-Paste Validation. [PDF]

J Imaging Inform Med
Kitaguchi Y, Ueno Y, Yamaguchi T, Maehara H, Miyazaki D, Nejima R, Inomata T, Kato N, Chikama TI, Ominato J, Yunoki T, Tsubota K, Oda M, Mori K, Yoshinaga Y, Iwasaki R, Nishida K, Oshika T.   +17 more
europepmc   +1 more source

Stimulator of interferon genes agonist augmented antitumor immunity of osimertinib in Egfr‐mutated lung cancer

Molecular Oncology, EarlyView.
Combining osimertinib with the STING agonist ADU‐S100 activates innate and adaptive immunity to overcome the non‐inflamed microenvironment of Egfr‐mutant lung cancer. This combination increases NK and CD8+ T‐cell infiltration, associated with activation of the STING‐IRF3 pathway and local immunogenic cell death.
Jun Nishimura, Tadahiro Kuribayashi, Johannes Brägelmann, Sachi Okawa, Masataka Taoka, Shunta Mori, Tomoka Nishimura, Takaaki Tanaka, Go Makimoto, Kiichiro Ninomiya, Kammei Rai, Eiki Ichihara, Ryohei Katayama, Katsuyuki Hotta, Masahiro Tabata, Yosuke Togashi, Yoshinobu Maeda, Martin L. Sos, Katsuyuki Kiura, Kadoaki Ohashi   +19 more
wiley   +1 more source

Topological embedding and directional feature importance in ensemble classifiers for multi-class classification. [PDF]

Comput Struct Biotechnol J
Rocha Liedl E, Yassin SM, Kasapi M, Posma JM.   +3 more
europepmc   +2 more sources

Semi-supervised data-integrated feature importance enhances performance and interpretability of biological classification tasks. [PDF]

Bioinformatics
Kim JW, Altman RB.
europepmc   +1 more source

Flow Enabled Target Capture Halbach‐based magnetic enrichment increases circulating tumor cell capture from blood in metastatic cancer patients

Molecular Oncology, EarlyView.
Pair‐wise comparison of the CellSearch and FETCH enrichment technologies for circulating tumor cells (CTCs) from metastatic breast, prostate, and small cell lung cancer patients shows an increased capture of CTCs using FETCH enrichment. The clinical implementation of circulating tumor cells (CTCs) as a predictive tool for therapy efficacy in the ...
Michiel Stevens, Anouk Mentink, Tom Niessink, Frank Coumans, Leonie Mekenkamp, Ruchi Bansal, Jeroen Hiltermann   +6 more
wiley   +1 more source

Simultaneous prediction of early and delayed mortality in burn patients: a comparative machine learning analysis of feature importance in a single-center retrospective study. [PDF]

BMC Med Inform Decis Mak
Motamedi M, Moallemkolaei NM, Hesamirostami M, Ghorbani M, Arani LS.   +4 more
europepmc   +1 more source