Results 161 to 170 of about 521,015 (294)

Can Machine Learning Reduce Unnecessary Surgeries? A Retrospective Analysis Using Threshold Optimization to Prevent Negative Appendectomies in Adults

Annals of Gastroenterological Surgery, EarlyView.
Threshold‐optimized machine learning models using routine clinical and laboratory data in 623 adults undergoing appendectomy. Logistic regression (AUC = 0.765) and random forest (AUC = 0.785) were the best‐performing models for appendicitis detection and complicated appendicitis prediction, respectively.
Ivan Males, Marko Kumric, Zvonimir Boban, Josip Vrdoljak, Dario Pecenkovic, Matej Ivanda, Marko Grahovac, Zenon Pogorelic, Josko Bozic   +8 more
wiley   +1 more source

Meeting Report: Fourth Correlates of Protection for Next Generation Influenza Vaccines. [PDF]

Influenza Other Respir Viruses
Tscherne A, Cox RJ, Krammer F, Bonnevie A.   +3 more
europepmc   +1 more source

Characteristics of Anal Fistula Cancer in Patients Who Underwent Surgery: A Nationwide Observational Study Using Diagnosis Procedure Combination Data

Annals of Gastroenterological Surgery, EarlyView.
The characteristics of patients with anal fistula cancer included a higher proportion of men, younger age, more smokers, and tumor‐related characteristics, including more advanced local progression. Surgical characteristics included a lower rate of minimally invasive surgery, a higher proportion of total pelvic exenterations, and longer postoperative ...
Nobuaki Hoshino, Hiromitsu Kinoshita, Kazutaka Obama, Kiyohide Fushimi, Susumu Kunisawa, Yuichi Imanaka   +5 more
wiley   +1 more source

Experimental data reuploading with provable enhanced learning capabilities. [PDF]

Sci Adv
Mauser MFX, Four S, Predl LM, Albiero R, Ceccarelli F, Osellame R, Petersen P, Dakić B, Agresti I, Walther P.   +9 more
europepmc   +1 more source

A Machine Learning Model for Interpretable PECVD Deposition Rate Prediction

Advanced Intelligent Discovery, EarlyView.
This study develops six machine learning models (k‐nearest neighbors, support vector regression, decision tree, random forest, CatBoost, and backpropagation neural network) to predict SiNx deposition rates in plasma‐enhanced chemical vapor deposition using hybrid production and simulation data.
Yuxuan Zhai, Wenrui Wang, Rui Chen, Tong Yu, Xiaojuan Zheng, Hua Shao, Dashan Shang, Ling Li, Lado Filipovic   +8 more
wiley   +1 more source

Advancing Personalized Strategies for Obesity Prevention Through Biologically and Behaviorally Tailored Interventions: The Strategic Framework for the BETTER4U Initiative. [PDF]

Obes Rev
Kafyra M, Kalafati IP, Bruins S, Episkopou C, Gryspeerdt D, Heggie L, Kaltenbrunner S, Kampshoff S, Karaglani E, Prändl HÖ, Papathanail I, Symianakis PG, Silchenko D, Vavouraki V, Boomsma D, Delopoulos A, Diou C, Eriksson A, Kaprio J, Krzywicka P, Luszczynska A, Manios Y, Marouli E, Moulos P, Mougiakakou S, Pool R, Silventoinen K, Verhaege N, Willems R, Dedoussis GV, BETTER4U consortium.   +30 more
europepmc   +1 more source

Discovery of Novel Materials with Giant Dielectric Constants via First‐Principles Phonon Calculations and Machine Learning

Advanced Intelligent Discovery, EarlyView.
We discovered novel materials with giant dielectric constants by combining first‐principles phonon calculations and machine learning. Screening 525 perovskites identified six candidates. RbNbO3 was synthesized under pressure and showed ε ≈ 800–1000. This validates our framework as a powerful tool for high‐performance dielectric materials discovery.
Hiroki Moriwake, Kazuki Shitara, Rie Yokoi, Takeharu Kato, Isao Tanaka, Ayako Yamamoto, Kimitoshi Murase, Yosuke Hamasaiki, Yoshitaka Ehara, Mitsuru Itoh   +9 more
wiley   +1 more source

Magnetically programmable surface acoustic wave filters: device concept and predictive modeling. [PDF]

Npj Spintron
Steinbauer MK, Flauger P, Küß M, Glamsch S, Nysten EDS, Weiß M, Suess D, Krenner HJ, Albrecht M, Abert C.   +9 more
europepmc   +1 more source

Validity of the elastase assay in intensive care medicine [PDF]

, 1988
Fritz, Hans, Jochum, Marianne, Lang, H., Redl, H., Redl, H., Schlag, G.   +5 more
core  

Safety and Effectiveness of Sutimlimab in Cold Agglutinin Disease: A Real‐World International Experience

American Journal of Hematology, EarlyView.
ABSTRACT Sutimlimab is a monoclonal antibody against complement fraction C1s approved for the treatment of hemolytic anemia due to cold agglutinin disease (CAD). Here, we analyzed and report the largest international CAD cohort of sutimlimab‐treated patients ever reported to highlight its safety and effectiveness in the real‐world setting. We accrued a
Bruno Fattizzo, Elisa Sambruna, Yoshitaka Miyakawa, Marc Michel, Carlo Visco, Michael Fillitz, George Kannourakis, Maria Bruna Greve, Moritz Kleemiss, Johan Cid, Andrea Patriarca, Laura Pavan, Arbana Dizdari, Nilla Maschio, Antonella Sau, Cinzia Bitetti, Riccardo Mario Colombo, Luigi Curreli, Dorela Lame, Uros Markovic, Fabrizio Pappagallo, Giacinto Luca Pedone, Davide Rapezzi, Vincenzo Sammartano, Nicola Tumedei, Antonio Giovanni Solimando, Jalink Marit, Luana Fianchi, Jahanzaib Khwaja, Antonio De Vivo, Francesco Lanza, Fabrizio Vianello, Esther N. Oliva, Catherine Broome, Francesco Passamonti, Ulrich Jaeger, Bernd Jilma, Guillaume Moulis, Wilma Barcellini   +38 more
wiley   +1 more source