Results 61 to 70 of about 131,003 (284)

Context‐Dependent Role of GDF15: GDF15+ Tumor‐Associated Macrophages Suppress OSCC Progression by Enhancing Phagocytosis

Advanced Science, EarlyView.
This study identifies GDF15+ TAMs as a cell subset mediating tumor regression after immunotherapy. Macrophage‐intrinsic GDF15 enhances phagocytosis and antigen cross‐presentation to CD8+ T cells through the NF‐κB signaling pathway, thereby inhibiting tumor progression.
Xinyu Zhou, Zhihang Zhou, Houyu Ju, Chaoyang Guo, Fangxing Zhu, Yiyi Zhang, Xu Chen, Tongchao Zhao, Laiping Zhong, Jingzhou Hu   +9 more
wiley   +1 more source

SENTIMENT ANALYSIS BASED ON PROBABILISTIC CLASSIFIER TECHNIQUES IN VARIOUS INDONESIAN REVIEW DATA

Jordanian Journal of Computers and Information Technology, 2022
Sentiment analysis is the field in data science to achieve a broader holistic view of users' needs and expectations. Indonesian user opinions have the potential to manage to be valuable information using sentiment analysis tasks.
Nur Hayatin, Suraya Alias, Lai Po Hung, Mohd Shamrie Sainin   +3 more
doaj   +1 more source

PERBANDINGAN KINERJA NAIVE BAYES CLASSIFIER DAN JARINGAN SYARAF TIRUAN BACKPROPAGATION PADA KLASIFIKASI PENYAKIT KANKER PAYUDARA [PDF]

, 2017
Klasifikasi antara sel kanker dengan normal menggunakan data fluorescence hasil pengukuran ekpresi gen MicroRNA sangat diperlukan untuk keberhasilan sistem dektesi dini.
KHASBURRAHMAN, KHARIS, Wibowo, Adi
core  

Cellular Identity Crisis: RD3 Loss Fuels Plasticity and Immune Silence in Progressive Neuroblastoma

Advanced Science, EarlyView.
Researchers discovered that therapy‐induced loss of RD3 protein in neuroblastoma triggers a dangerous shift: cancer cells become more stem‐like, invasive, and resistant to treatment while evading immune detection. RD3 loss suppresses antigen presentation and boosts immune checkpoints, creating an immune‐silent environment.
Poorvi Subramanian, Sreenidhi Mohanvelu, Sheeja Aravindan, Afsana Parveen Jahir Hussain, Sivasubramani Narayanan, Sabir Salim, Loganayaki Periyasamy, Natarajan Aravindan   +7 more
wiley   +1 more source

Patient‐Reported Outcomes with Selpercatinib Among Patients with RET Fusion–Positive Non‐Small Cell Lung Cancer in the Phase I/II LIBRETTO‐001 Trial

The Oncologist, EarlyView., 2021
Abstract Background LIBRETTO‐001 is an ongoing, global, open‐label, phase I/II study of selpercatinib in patients with advanced or metastatic solid tumors. We report interim patient‐reported outcomes in patients with RET fusion–positive non‐small cell lung cancer (NSCLC).
Anna Minchom, Aaron C. Tan, Erminia Massarelli, Vivek Subbiah, Valentina Boni, Bruce Robinson, Lori J. Wirth, Lisa M. Hess, Min‐Hua Jen, Jennifer Kherani, Elizabeth Olek, Caroline E. McCoach   +11 more
wiley   +1 more source

Naive Bayes Classification of Uncertain Data [PDF]

2009 Ninth IEEE International Conference on Data Mining, 2009
Traditional machine learning algorithms assume that data are exact or precise. However, this assumption may not hold in some situations because of data uncertainty arising from measurement errors, data staleness, and repeated measurements, etc. With uncertainty, the value of each data item is represented by a probability distribution function (pdf). In
Lee, SD, Ren, J, Chen, X, Cheng, R, Kao, B, Cheung, D   +5 more
openaire   +2 more sources

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

Advanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu, Milica Zdravković, Dijana Milosavljević, Konstantin Köster, Olivier Guillon, Jyh‐Chiang Jiang, Payam Kaghazchi   +6 more
wiley   +1 more source

Patient‐Reported Outcomes with Selpercatinib Treatment Among Patients with RET‐Mutant Medullary Thyroid Cancer in the Phase I/II LIBRETTO‐001 Trial

The Oncologist, EarlyView., 2021
Abstract Background Medullary thyroid cancer (MTC) standard of care includes multikinase inhibitors (MKIs), which can exacerbate disease‐related diarrhea, primarily because of non‐RET kinase inhibition. We report diarrhea and other patient‐reported outcomes (PROs) with selpercatinib, a highly selective RET inhibitor, among patients with RET‐mutant MTC ...
Lori J. Wirth, Bruce Robinson, Valentina Boni, Daniel S.W. Tan, Caroline McCoach, Erminia Massarelli, Lisa M. Hess, Min‐Hua Jen, Jennifer Kherani, Elizabeth Olek, Vivek Subbiah   +10 more
wiley   +1 more source

Prediksi Hasil Pemilu Legislatif DKI Jakarta menggunakan Algoritma Naive Bayes dengan Algoritma Genetika sebagai Fitur Seleksi [PDF]

, 2014
Pemilu merupakan sebuah tonggak untuk menentukan pemimpin dari sebuah negara demokrasi. Hasil pemilu berdampak pada berbagai sektor. Maka dibutuhkan sistem perhitungan cepat atau prediksi untuk memprediksikan hasil pemilu. Saat ini terdapat sebuah sistem
DIANA, WAHYUNI TRI
core  

Artificial Intelligence‐Driven Insights into Electrospinning: Machine Learning Models to Predict Cotton‐Wool‐Like Structure of Electrospun Fibers

Advanced Intelligent Discovery, EarlyView.
Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia, Giovanna Pappalardo, Aldo R. Boccaccini, Liliana Liverani   +3 more
wiley   +1 more source