Results 111 to 120 of about 654,903 (239)

Reappraisal of Real‐World Management of Acute Cholecystitis in Elderly Patients Based on the Adherence to Tokyo Guidelines 2018 (TG18): A Multicenter Study on Anzu HPB Surgical Meeting

Annals of Gastroenterological Surgery, EarlyView.
This multicenter retrospective study analyzes real‐world management of acute cholecystitis in patients aged ≥ 70 years across five institutions, focusing on adherence and intentional deviation from TG18 recommendations. By classifying treatment strategies as TG18‐accordant, more aggressive, or more conservative, we reappraise current practice patterns.
Yuta Kobayashi, Shojiro Hata, Ryo Oikawa, Tetsuya Nakazato, Hiroki Sakata, Hirokazu Yamaguchi, Yutaka Suzuki, Yoshihiro Sakamoto   +7 more
wiley   +1 more source

Genetic Spectrum and Phenotypic Variability in Chinese Patients with Multisystem Proteinopathy and Related Disorders. [PDF]

Degener Neurol Neuromuscul Dis
Xia X, Chen X, Sun Y, Zhang M, Qiao K, Chen Y, Zhao C, Dong Y, Zhu W.   +8 more
europepmc   +1 more source

Survival Outcomes of Gemcitabine–Cisplatin–S‐1 Versus Gemcitabine–Cisplatin in Unresectable Biliary Tract Cancer: A Multicenter Retrospective Study With a Focus on Conversion Surgery

Annals of Gastroenterological Surgery, EarlyView.
In this multicenter retrospective study conducted by the Biliary Tract Club, we compared survival outcomes between gemcitabine–cisplatin–S‐1 (GCS) and gemcitabine–cisplatin (GC) in patients with unresectable biliary tract cancer, with a particular focus on conversion surgery. GCS was associated with longer overall and progression‐free survival compared
Hisashi Kosaka, Masahiko Kinoshita, Satoshi Yasuda, Satoru Kakizaki, Rie Sugimoto, Jun Sakata, Kiyonori Yamai, Takeshi Hatanaka, Yusuke Yamamoto, Toshifumi Sato, Toru Ishikawa, Takanori Morikawa, Jun Hanaoka, Haruki Mori, Hidenori Toyoda, Tsuyoshi Sanuki, Misaki Yokoi, Hiroyuki Shibata, Koji Fukuda, Kazuhito Kawata, Koji Amaya, Takashi Ito, Masaaki Hidaka, Atsushi Naganuma, Keishi Sugimachi, Satoshi Toshiyama, Makoto Yamasaki, Masaki Kaibori   +27 more
wiley   +1 more source

Muscle Imaging in Inclusion Body Myositis: Refinement of MRI Criteria and Insights Into Upper Body Involvement. [PDF]

J Cachexia Sarcopenia Muscle
Torchia E, Lucchini M, Verdu-Diaz J, Bortolani S, Ravera B, Carlomagno V, Cicia A, Bernardo D, Monforte M, Rehmann R, Kley RA, Sabatelli M, Díaz-Manera J, Ricci E, Mirabella M, Tasca G.   +15 more
europepmc   +1 more source

Exploring Quantum Support Vector Regression for Predicting Hydrogen Storage Capacity of Nanoporous Materials

Advanced Intelligent Discovery, EarlyView.
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley   +1 more source

cN1A Antibody-Positive Inclusion Body Myositis Following Seminoma Manifesting With Slowly Progressive Paraparesis: A Case Report. [PDF]

Cureus
Finsterer J.
europepmc   +1 more source

Flexible Memory: Progress, Challenges, and Opportunities

Advanced Intelligent Discovery, EarlyView.
Flexible memory technology is crucial for flexible electronics integration. This review covers its historical evolution, evaluates rigid systems, proposes a flexible memory framework based on multiple mechanisms, stresses material design's role, presents a coupling model for performance optimization, and points out future directions.
Ruizhi Yuan, Sen Chen, Minghui Guo, Ziliang Cui, Yujie Du, Jing Liu   +5 more
wiley   +1 more source

Expanding the Differential Diagnosis of Ultrasonographic Flexor Digitorum Profundus-Flexor Carpi Ulnaris Dissociation of Echogenicity: Muscular Dystrophies. [PDF]

Muscle Nerve
Wilks AW, Chahin N.
europepmc   +1 more source

Artificial Intelligence for Bone: Theory, Methods, and Applications

Advanced Intelligent Discovery, EarlyView.
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan, Haicang Zhang, Liping Tong, Di Chen   +3 more
wiley   +1 more source

Integrating machine learning and explainable AI for employee attrition prediction in HR analytics. [PDF]

Sci Rep
Al-Ali M, Alwateer M, Alsaedi SA, Balaha HM, Badawy M, A Elhosseini M.   +5 more
europepmc   +1 more source