Results 191 to 200 of about 235,115 (280)

Elevated Risk of Complications in Patients Receiving Dual Antithrombotic Therapy Undergoing Hepatectomy: A Single‐Center Audit of 749 Cases

Annals of Gastroenterological Surgery, EarlyView.
This single‐center retrospective study evaluated perioperative outcomes after hepatectomy in 749 patients, including 140 receiving ATT, using propensity score matching to compare ATT and non‐ATT cohorts. Under standardized perioperative management, ATT did not increase major bleeding, transfusion, or severe morbidity overall; however, within the ATT ...
Haruki Mori, Hiromitsu Maehira, Nobuhito Nitta, Takeru Maekawa, Toru Miyake, Sachiko Kaida, Masatsugu Kojima, Katsushi Takebayashi, Takeshi Sonoda, Masaji Tani   +9 more
wiley   +1 more source

Effects of Prior Local Therapy by Radical Prostatectomy or Radiotherapy on the Efficacy and Quality of Life of Patients Treated With Darolutamide in ARAMIS. [PDF]

Cancer Med
Saar M, Fizazi K, Shore ND, Smith M, Damber JE, Semenov A, Ribal MJ, Birtle A, Rigaud J, Wallis CJD, Grimm MO, Halabi S, Armstrong AJ, Mohamed AF, Adorjan P, Srinivasan S, Verholen F, Morgans AK, Siemens DR.   +18 more
europepmc   +1 more source

Comparison Between Upfront Surgery and Preoperative Chemotherapy for CY1P0 Gastric Cancer: A Japanese Sub‐Analysis of CONVO‐GC‐1

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Background Radical gastrectomy, followed by adjuvant chemotherapy has been a common practice in Japan for peritoneal lavage cytology‐positive (CY1) but peritoneal dissemination‐negative (P0) stage IV gastric cancer. This study aimed to clarify the differences in treatment outcomes between upfront surgery and preoperative chemotherapy, followed
Kenichiro Furukawa, Itaru Yasufuku, Hironori Ishigami, Masahiro Yura, Takanobu Yamada, Shigeaki Baba, Takeshi Kubota, Erina Nagai, Seito Fujibayashi, Mitsumasa Yoshida, Takahiro Kinoshita, Nobuhisa Matsuhashi, Masanori Terashima   +12 more
wiley   +1 more source

One-year real-world outcomes after vericiguat initiation in heart failure: The ROVER-Japan cohort study. [PDF]

Int J Cardiol Heart Vasc
Takeichi M, Kohsaka S, Nochioka K, Ohlmeier C, Michel A, Holl K, Yamamoto H, Arita Y, Kim SW, Okami S.   +9 more
europepmc   +1 more source

Monitoring and control of a continuous, integrated filtration‐drying system with in‐line mass spectrometry via PharmaPy

AIChE Journal, EarlyView.
Abstract This article demonstrates the integration of in‐line mass spectrometry as a process analytical technology (PAT) tool with model‐based soft sensors in a continuous filtration‐drying carousel system for solid–liquid separation (SLS) of crystal slurries.
Inyoung Hur, Daniel Casas‐Orozco, Gintaras Reklaitis, Zoltan K. Nagy   +3 more
wiley   +1 more source

Building Trust: Validating Artificial Intelligence (AI) and Machine Learning in Agricultural Applications. [PDF]

J Agric Food Chem
Riter LS, Bienstock RJ, O'Sullivan W.
europepmc   +1 more source

Sequential Monte Carlo with likelihood tempering and parallel implementation for uncertainty quantification

AIChE Journal, EarlyView.
Abstract Bayesian estimation enables uncertainty quantification, but analytical implementation is often intractable. As an approximate approach, the Markov Chain Monte Carlo (MCMC) method is widely used, though it entails a high computational cost due to frequent evaluations of the likelihood function.
Tatsuki Maruchi, Tomoyuki Yajima, Yoshiaki Kawajiri   +2 more
wiley   +1 more source

Optimization of the Use of Generic Medications in Oncology: Improving Safety and Therapeutic Quality. [PDF]

J Clin Med
Gómez Abreo D, Alarcón Cano DF, Ayala F, Belalcázar Carvajal N, Berrouet Mejía MC, Beltrán O, Calderón-Ospina CA, Castro-Salguero H, Escobar Cárdenas DM, Lema-Medina M, Marín Zuluaga JI, Milla Bernabé P, Niño Velasco RE, Osorio Estévez R, Ortiz JM, Rojas-Melo LJ, Urrego M, Vargas C, Zuluaga AF.   +18 more
europepmc   +1 more source

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