Results 221 to 230 of about 371,575 (291)

Perioperative Durvalumab for Resectable NSCLC: Updated Outcomes for Japanese Patients in AEGEAN

Cancer Science, EarlyView.
In prespecified exploratory analyses of Japanese patients with resectable NSCLC enrolled in the AEGEAN trial, perioperative durvalumab plus neoadjuvant chemotherapy demonstrated clinically meaningful improvements in the primary endpoints of EFS and pCR versus neoadjuvant chemotherapy alone.
Tetsuya Mitsudomi, John V. Heymach, Yoshitsugu Horio, Fumihiro Tanaka, Hiroshi Tanaka, Shoichi Kuyama, Morihito Okada, Shinichi Toyooka, Yasutaka Watanabe, Martin Reck, David Harpole, Janis M. Taube, Yuka Olivo, Huiling Xiong, Tamer M. Fouad, Allen Chen, Hiroaki Akamatsu   +16 more
wiley   +1 more source

Explainable diabetes prediction using a stacked ensemble framework. [PDF]

PLoS One
Awan SF, Irfan K, Butt UM, Letchmunan S, Hassan FH.   +4 more
europepmc   +1 more source

Phase II Study of Cisplatin/Gemcitabine Plus Necitumumab for Squamous NSCLC After ICI‐Platinum Therapy (WJOG14120L)

Cancer Science, EarlyView.
WJOG14120L NESSIE evaluated cisplatin, gemcitabine, and necitumumab (CGN) as second‐line therapy after ICI‐based treatment in 46 patients with advanced squamous NSCLC. ORR was 26.1%, DCR 87.0%, and median PFS 4.4 months. Although the predefined ORR threshold was not met, CGN showed modest antitumor activity with manageable toxicity.
Hiroshige Yoshioka, Keita Mori, Nobuhisa Ishikawa, Hiroaki Kanemura, Koichi Azuma, Yukihiro Toi, Hiroshi Handa, Yosuke Tamura, Hiroaki Akamatsu, Haruko Daga, Masafumi Yamaguchi, Teppei Yamaguchi, Yuki Sato, Nobuyuki Yamamoto, Kazuhiko Nakagawa, Takayasu Kurata   +15 more
wiley   +1 more source

MRI-Based Knee Morphometry and Pediatric Anterior Cruciate Ligament Injury: A Machine Learning Case-Control Study. [PDF]

J Clin Med
Onder M, Erbas A, Kocaoglu MA, Colak M, Mert M, Kurk MB, Misir A.   +6 more
europepmc   +1 more source

Five‐Year Treatment Outcomes of Macular Oedema Secondary to Central Retinal Vein Occlusion in Routine Clinical Practice: The Fight Retinal Blindness! Registry

Clinical &Experimental Ophthalmology, EarlyView.
ABSTRACT Background To report 5‐year outcomes in a cohort of patients who received anti‐VEGF therapy for macular oedema secondary to central retinal vein occlusion (CRVO) in routine clinical practice. Methods In this retrospective observational study, 593 treatment‐naïve eyes that commenced anti‐VEGF treatment between 1 January 2010, and 2019 were ...
Katrin Rudolph, Marianna Rosso, Mark Gillies, Adrian Hunt, Louise O'Toole, Alessandro Invernizzi, David Squirrell, Hemal Mehta, Richard Barry, Pierre‐Henry Gabrielle, Daniel Barthelmes   +10 more
wiley   +1 more source

Glioma Grade Classification Using Machine Learning and MRI Radiomics: A Single-Center Prospective Study Comparing Original and Wavelet-Transformed Features From Anatomical, Diffusion-Weighted, and Post-Contrast Imaging. [PDF]

Health Sci Rep
Khorasani A, Shahbazi-Gahrouei D.
europepmc   +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

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 scalable solution for multi-symptom disease prediction and lifestyle recommendations using machine learning. [PDF]

Sci Rep
Hussain A, Al-Jumaili S, Tahir F, Cheema SM, Malik E, Anwar A, Branco F, Pires IM.   +7 more
europepmc   +1 more source

Sex and Socioeconomic Differences in the Initiation of SGLT2 Inhibitors and GLP‐1 Receptor Agonists in Patients With Type 2 Diabetes and Cardiovascular Disease: A Nationwide Cohort Study

Diabetes, Obesity and Metabolism, EarlyView.
ABSTRACT Aims Cardioprotective glucose‐lowering drugs (GLDs) remain underutilised in individuals with Type 2 diabetes (T2D) and cardiovascular disease (CVD). We aimed to estimate the association between sex and socioeconomic status and initiation of cardioprotective GLDs and to identify factors associated with non‐initiation of cardioprotective GLDs ...
Elena Calderon, Lasse Bjerg, Anders A. Isaksen, Annelli Sandbæk, Kristian L. Funck, Erik L. Grove   +5 more
wiley   +1 more source