Results 231 to 240 of about 102,648 (335)

Prediction of Endocrine System Affectation in Fisher 344 Rats by Food Intake Exposed with Malathion, Applying Naïve Bayes Classifier and Genetic Algorithms. [PDF]

Int J Prev Med, 2016
Mora JD, Hurtado DA, Sandoval OL.
europepmc   +1 more source

AMPK‐mediated prevention of vascular dysfunction with metformin: Experimental and population‐based evidence

British Journal of Pharmacology, EarlyView.
Angiotensin II induces vascular inflammation, senescence, extracellular matrix (ECM) degradation and endothelial dysfunction, thus impairing SK+/IK+ channel function and reducing endothelial‐dependent hyperpolarisation (EDH). Metformin activates AMPK, increasing SK+/IK+ channel function and restoring vasorelaxation.
Soroush Mohammadi Jouabadi, Annika A. Jüttner, Annique Claringbould, Rene de Vries, Ingrid M. Garrelds, Usha Musterd‐Bhaggoe, Bruno H. Stricker, Maryam Kavousi, A. H. Jan Danser, Fariba Ahmadizar, Anton J. M. Roks   +10 more
wiley   +1 more source

A cDC1‐NK/T‐Malignant Cell Circuit Drives Immunogenic Remodeling Under PD‐1 Blockade in Gastric Cancer

Cancer Science, EarlyView.
Chemotherapy combined with nivolumab reshapes the gastric cancer tumor microenvironment (TME) and is accompanied by an enrichment of reduced cytotoxicity NK (RC‐NK) cells. Rather than acting as classical cytotoxic effectors, these RC‐NK cells appear to shape the TME by promoting an immunostimulatory circuit that engages adaptive immunity.
Takuya Nakatsuru, Hiroki Yamashita, Chiaki Mashima, Guoqiang Zhang, Hitoshi Saito, Tatsunori Minamide, Keita H. Nagaoka, Ryo Kamata, Shunsuke A. Sakai, Gaku Yamamoto, Tomoko Y. Morita, Kazuki Nakai, Yumi Hakozaki, Kumi Kinoshita, Yui Takahashi, Izuma Nakayama, Akihito Kawazoe, Yuko Ishii, Sai M. Pulukuri, Hiroshi Haeno, Yukie Kashima, Kohei Shitara, Tomonori Yano, Takeshi Saito, Akihiro Ohashi   +24 more
wiley   +1 more source

Linguistic Modelling Using a semi-naive Bayes Framework

, 2002
Randon, NJ, Lawry, J
core  

Neutrophil‐Macrophage Interactions Shape Inflammatory Macrophage Remodeling in Gastric Cancer During Chemo‐Immunotherapy

Cancer Science, EarlyView.
PD‐1 blockade combined with chemotherapy induces MHC‐II+ inflammatory neutrophils in gastric cancer, which engage in dynamic crosstalk with macrophages to remodel the tumor microenvironment toward a pro‐inflammatory state, thereby amplifying antitumor immune responses.
Keita H. Nagaoka, Hiroki Yamashita, Chiaki Mashima, Guoqiang Zhang, Hitoshi Saito, Tatsunori Minamide, Takuya Nakatsuru, Ryo Kamata, Shunsuke A. Sakai, Gaku Yamamoto, Tomoko Y. Morita, Kazuki Nakai, Yumi Hakozaki, Kumi Kinoshita, Yui Takahashi, Izuma Nakayama, Akihito Kawazoe, Sai M. Pulukuri, Yuko Ishii, Hiroshi Haeno, Yukie Kashima, Kohei Shitara, Tomonori Yano, Takeshi Saito, Akihiro Ohashi   +24 more
wiley   +1 more source

Genetic Predictors of Progression and Skin Rash in Japanese mCSPC Patients Treated With Apalutamide: CUARTET Study

Cancer Science, EarlyView.
In patients with mCSPC treated with apalutamide plus ADT, baseline ctDNA predicted earlier progression to CRPC and worse overall survival. Exploratory genome‐wide analysis identified 12 SNPs associated with apalutamide‐related skin rash. ABSTRACT Despite promising evidence of the efficacy of the androgen deprivation therapy (ADT) plus apalutamide in ...
Masaki Shiota, Taku Naiki, Koji Hatano, Akira Yokomizo, Hiroaki Tsuchiya, Yoko Takahashi, Taku Nakayama, Masaki Yoshida, Hirotsugu Uemura   +8 more
wiley   +1 more source

Machine learning approaches in automated infant General Movements Assessment: A scoping review

Developmental Medicine &Child Neurology, EarlyView.
Automated infant General Movements Assessment increasingly uses machine‐ and deep‐learning approaches to classify movement patterns and estimate cerebral palsy risk from video or sensor data. This scoping review highlights how dataset characteristics, recording environment, pose‐estimation accuracy, feature extraction, and model design influence system
Manpreet Kaur, Hamid Abbasi, Sîan A. Williams, Thor F. Besier, Angus J. C. McMorland   +4 more
wiley   +1 more source

Developing a Naïve Bayes risk classification machine learning algorithm to predict high viral load in a low-resource setting. [PDF]

PLOS Glob Public Health
Gonah L, Murakwani T.
europepmc   +1 more source

Comparative predictive accuracy of machine learning versus traditional statistical methods for diabetes‐related complications: A systematic review and analysis

Diabetic Medicine, EarlyView.
This systematic review of 36 studies comparing machine learning with traditional statistical models for predicting diabetes‐related complications found modest discrimination gains with ensemble approaches, particularly random forest and gradient boosting.
Bismah Ghafoor, Francesco Zaccardi, Kamlesh Khunti, Sharmin Shabnam   +3 more
wiley   +1 more source

A hybrid AIoT model for workplace stress prediction and intervention using social media platforms. [PDF]

Discov Ment Health
Stepy PL, Diana PD, Danciulescu D, Stoian G, Leo A, Anitha J.   +5 more
europepmc   +1 more source