Deep learning-assisted analysis of biomarker changes after increase of dosing from aflibercept 2 mg to 8 mg in therapy-resistant neovascular age-related macular degeneration by Siegfried Priglinger, Jakob Siedlecki, Benedikt Schworm, Franziska Eckardt, Michael Hafner, Ben Asani, Caspar Liesenhoff, Alexander Kufner, Johannes Benedikt Schiefelbein

“…Unfortunately, not all patients respond equally well to the drugs, and some show recurrences during treatment. Since 01/2024, aflibercept 8 mg represents an additional treatment option and contains a four times higher dosage than the already known aflibercept 2 mg.Methods To evaluate the real-world efficacy of aflibercept 8 mg in refractory nAMD patients, focusing on changes in key optical coherence tomography biomarkers over a follow-up period of the first four aflibercept 8 mg injections using a deep learning-based semantic segmentation algorithm. …”
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Differences in Characteristics of Peripartum Patients Who Did and Did Not Require an Upgrade to the Intensive Care Unit: A Propensity Score Matching Study by Jennifer A. Walker, Jerry M. Yang, Saad Pirzada, Manahel Zahid, Samantha Asuncion, Amanda Tuchler, Gillian Cooper, Allison Lankford, Emad Elsamadicy, Quincy K. Tran

“…The Classification And Regression Tree, a machine learning algorithm, was used to identify significant predictors of ICU upgrade. …”
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Results of complex treatment of patients with locally advanced squamous cell carcinoma of the paranasal sinuses and nasal cavity using induction chemotherapy by T.   I. Dеshkina, L.  V. Bolotina, A.  R. Gevorkov, A.  V. Boyko, A.  L. Kornietskaya, A. P. Polyakov, P.   V. Golubev, R.  S. Sydykova, A. A. Fedenko

“…To date, there are no randomized trials to determine the optimal treatment algorithm for this group of patients. Data on the use of induction chemotherapy in squamous cell carcinoma of sino-nasal tract are limited to a small series of clinical observations and, often, are retrospective in nature.Aim. …”
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The use of heart rate variability, oxygen saturation, and anthropometric data with machine learning to predict the presence and severity of obstructive sleep apnea by Rafael Rodrigues dos Santos, Matheo Bellini Marumo, Alan Luiz Eckeli, Helio Cesar Salgado, Luiz Eduardo Virgílio Silva, Renato Tinós, Rubens Fazan

“…The Apnea-Hypopnea Index (AHI) was used to categorize into severity classes of OSA (normal, mild, moderate, severe) to train multiclass or binary (normal-to-mild and moderate-to-severe) classification models, using the Random Forest (RF) algorithm. Since the OSA severity groups were unbalanced, we used the Synthetic Minority Over-sampling Technique (SMOTE) to oversample the minority classes.ResultsMulticlass models achieved a mean area under the ROC curve (AUROC) of 0.92 and 0.86 in classifying normal individuals and severe OSA patients, respectively, when using all attributes. …”
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Simplification of the diagnostic approach and treatment of Hepatitis C Virus. by Clara C. Sanchez-Rodriguez, Ana M. Mendoza-Martínez, Héctor R. Sánchez-Nuncio, Jorge H. Luna-Domínguez

“…Fibrosis was calculated using the APRI algorithm, finding 53/130 with >1.5 and 60/130 with >3.25, which predicted F3-4. …”
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Investigating the drivers of long-term trends in the upper atmosphere over Rome across four decades by Spogli Luca, Sabbagh Dario, Perrone Loredana, Scotto Carlo, Cesaroni Claudio

“…To identify the various frequency/period components of the time series under consideration and identify the trends, we leverage the high scale/time resolution offered by the Fast Iterative Filtering (FIF) algorithm. A regression analysis of thermosphere/ionosphere parameters against geomagnetic/solar activity indices has then been conducted to investigate the drivers of long-term variability. …”
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TATPat based explainable EEG model for neonatal seizure detection by Turker Tuncer, Sengul Dogan, Irem Tasci, Burak Tasci, Rena Hajiyeva

“…Also, the presented TATPat-based EFE model is a good model for explainable artificial intelligence (XAI) since TTPat-based EFE is cooperating by the DLob.…”
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RATIONAL USE OF NONSTEROIDAL ANTI-INFLAMMATORY DRUGS. CLINICAL GUIDELINES by A. E. Karateev, E. L. Nasonov, V. T. Ivashkin, A. I. Martynov, N. N. Yakhno, G. P. Arutyunov, L. I. Alekseeva, G. R. Abuzarova, M. A. Evseev, M. L. Kukushkin, S. S. Kopenkin, A. M. Lila, T. L. Lapina, D. S. Novikova, T. V. Popkova, A. P. Rebrov, K. V. Skorobogatykh, N. V. Chichasova

“…To do this, the authors proposed a NSAID choice algorithm based on the assessment of risk factors for AE, the individual characteristics of various representatives of this drug group, and the possibility of prevention of AE.Since then, new data on the efficacy and safety of NSAIDs have been obtained. …”
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THE CLINICAL CONFERENCE AS GUIDANCE TO FORMING INTERNS’ PROFESSIONAL COMPETENCIES DURING FORMATION IN THE UMSA’S DEPARTMENT OF POSTGRADUATED EDUCATION OF DENTISTS by T.P. Skripnikova, M.V. Khrebor, Ju. I. Sylenko, O.A. Pisarenko

“…During the examination of the patient the knowledge of internal diseases, the pathophysiological substantiation of the symptoms, the use of paraclinical examination methods in the structure of the diagnostic algorithm and the development of the correct tactical and therapeutic approach to the patient are updated. …”
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Software Implementation of the Epps-Pulley Criterion in Matlab Modeling Environment by A. A. Tipikin, A. A. Prusakov, N. A. Timoshenko

“…We used the time spent on calculations to make a reasonable choice of the calculation algorithm for the criterion statistics. We confirmed correctness of the calculation algorithms by a set of selective checks and statistical estimates that showed the compliance with well-known theoretical provisions.…”
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Machine‐Learning‐Assisted Design and Optimization of Single‐Atom Transition Metal‐Incorporated Carbon Quantum Dot Catalysts for Electrocatalytic Hydrogen Evolution Reaction by Unbeom Baeck, Min‐Cheol Kim, Duong Nguyen Nguyen, Jaekyum Kim, Jaehyoung Lim, Yujin Chae, Namsoo Shin, Heechae Choi, Joon Young Kim, Chan‐Hwa Chung, Woo‐Seok Choe, Ho Seok Park, Uk Sim, Jung Kyu Kim

“…ABSTRACT Hydrogen evolution reaction (HER) in acidic media has been spotlighted for hydrogen production since it is a favourable kinetics with the supplied protons from a counterpart compared to that within alkaline environment. …”
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Smartphone intervention for pregnancy smoking cessation with peer support: the study protocol of the SmokeFree Together 2.0 (SFT 2.0) randomised controlled trial by Ken Resnicow, Kristie Foley, Daniel Muresan, Oana M Blaga, Marina D Dascal, Alexandra Onișor, Teodora Frățilă, Andreea Morar, Dan Mihu, Cristian I Iuhas, Gabriela Caracostea, Cristian I Meghea

“…In total, 300 pregnant smokers and their supporters will be randomised to (1) the SmokeFree Together 2.0 app and an RL-based intervention that continuously decides if a counselling call is needed using a fixed algorithm measuring motivation and craving or (2) a control group. …”
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Surface water quality assessment for drinking and pollution source characterization: A water quality index, GIS approach, and performance evaluation utilizing machine learning anal... by Abhijeet Das

“…Evaluating the effectiveness and dependability of classification algorithms in identifying changes in water quality is crucial since accurate information is required to improve decision-making. …”
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Remote Sensing Based Crop Monitoring Techniques: A Case Study for the Navajo Nation by V. Thangavel, S. Nagarajan, M. Arockiasamy, Md. T. Khan, G. Sklivanitis

“…Agriculture has been a key part of life in the Navajo Nation since the late 19th and early 20th centuries, playing a big role in the region’s development and stability. …”
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Neoantigen prioritization based on antigen processing and presentation by Serina Tokita, Serina Tokita, Takayuki Kanaseki, Takayuki Kanaseki, Toshihiko Torigoe

“…Computational algorithms and machine learning methods have been developed to prioritize neoantigen candidates. …”
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Asymmetrical reliability of the Alda score favours a dichotomous representation of lithium responsiveness. by Abraham Nunes, Thomas Trappenberg, Martin Alda, international Consortium on Lithium Genetics (ConLiGen)

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Mapping Invasive <italic>Spartina alterniflora</italic> Using Phenological Information and Red-Edge Bands of Sentinel-2 Time-Series Data by Yiwei Ma, Li Zhuo, Jingjing Cao

“…<italic>S. alterniflora</italic> extraction achieved the highest accuracy of 96.57&#x0025; by using the eXtreme gradient boost algorithm when compared with other machine-learning algorithms. …”
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Possibilities of comparing the average annual effective doses of medical personnel in Russia and some foreign countries by S. Yu. Bazhin, E. N. Shleenkova, G. N. Kaidanovsky, V. A. Ilyin

“…-Petersburg, in which individual dosimetric control was carried out in the Laboratory of Radiation Control, transformed according to the developed algorithm, are much better consistent with similar data from foreign countries.…”
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Predicting biogas production in real scale anaerobic digester under dynamic conditions with machine learning approach by M. Erdem Isenkul, Sevgi Güneş-Durak, Yasemin Poyraz Kocak, İnci Pir, Mertol Tüfekci, Güler Türkoğlu Demirkol, Selçuk Sevgen, Aslı Seyhan Çığgın, Neşe Tüfekci

“…This study aimed to investigate the predictability of changes in biogas production using the SVR algorithm with an RBF kernel in a full-scale anaerobic digester treating wastewater from a fruit processing plant. …”
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Near-Real-Time Global Thermospheric Density Variations Unveiled by Starlink Ephemeris by Zhuoliang Ou, Jiahao Zhong, Yongqiang Hao, Ruoxi Li, Xin Wan, Kang Wang, Jiawen Chen, Hao Han, Xingyan Song, Wenyu Du, Yanyan Tang

“…With the ephemeris data of Starlink satellites, we first apply a maneuver detection algorithm based on mean orbital elements to analyze their maneuvering behavior. …”
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