ALGORITHM FOR THE TREATMENT OF PATIENTS WITH CHRONIC HEART FAILURE WITH REDUCED LEFT VENTRICULAR EJECTION FRACTION by E. V. Reznik, I. G. I.G. Nikitin

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Evidence of compensatory neural hyperactivity in a subgroup of breast cancer survivors treated with chemotherapy and its association with brain aging by Michele M. Mulholland, Alexa Stuifbergen, Alexa De La Torre Schutz, Oscar Y. Franco Rocha, Douglas W. Blayney, Shelli R. Kesler

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Machine learning based clinical decision tool to predict acute kidney injury and survival in therapeutic hypothermia treated neonates by Elif Keles, Syed Yaseen Ali, Pia Wintermark, Pieter Annaert, Floris Groenendaal, Suzan Şahin, Mehmet Yekta Öncel, Didem Armangil, Esin Koc, Malcolm R. Battin, Alistair J. Gunn, Adam Frymoyer, Valerie Chock, Djalila Mekahli, John van den Anker, Anne Smits, Karel Allegaert, Ulas Bagci

“…In this retrospective multinational study, 1149 TH-treated NE neonates and 801 controls were included. …”
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The impact of intravenous iodinated contrast agents on radiotherapy dose calculation and radiobiological effect predictions in central lung cancer by Defu Yang, Feng Shang, Ying Xu, Ying Yan

“…This study evaluates and compares dosimetric differences and predictions of Tumor Control Probability (TCP) and Normal Tissue Complication Probability (NTCP) between the Analytic Anisotropic Algorithm (AAA) and Acuros XB (AXB) algorithm in lung cancer radiotherapy, under both contrast-enhanced and non-contrast enhanced CT conditions.MethodsTwenty patients with centralized lung cancer treated with intensity-modulated radiation therapy (IMRT) technique, including two patients with small cell lung cancer and 18 with non-small cell lung cancer, were selected to undergo CT scanning with and without contrast. …”
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Dosiomic predictors of biochemical failure in patients with localized prostate cancer treated with Iodine-125 low-dose-rate brachytherapy by Masahiro Nakano, Shizuo Kaji, Shogo Kawakami, Hideyasu Tsumura, Toshikazu Imae, Yuichi Tanaka, Kyohei Fujii, Takuro Kainuma, Ryosuke Yamazaki, Ayaka Uchida, Hijiri Kaneko, Mako Fujino, Chizu Hata, Yu Murakami, Masatoshi Hashimoto, Hiromichi Ishiyama

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Repeated in-field radiosurgery for locally recurrent brain metastases: Feasibility, results and survival in a heavily treated patient cohort. by Panagiotis Balermpas, Susanne Stera, Jens Müller von der Grün, Britta Loutfi-Krauss, Marie-Thérèse Forster, Marlies Wagner, Christian Keller, Claus Rödel, Volker Seifert, Oliver Blanck, Robert Wolff

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Pre-ablation and Post-ablation Factors Influencing the Prognosis of Patients with Electrical Storm Treated by Radiofrequency Catheter Ablation: An Update by Cosmin Cojocaru, Maria Dorobanțu, Radu Vătășescu

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Role of mass spectrometry-based serum proteomics signatures in predicting clinical outcomes and toxicity in patients with cancer treated with immunotherapy by Young Kwang Chae, Emma Yu, Na Hyun Kim, Min Jeong Kim, Leeseul Kim, Hyung-Gyo Cho, Yeonggyeong Park, Yoonhee Choi, Seung Pyo Daniel Hong

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The CURE Protocol: evaluation and external validation of a new public health strategy for treating paediatric hydrocephalus in low-resource settings by Benjamin C Warf, Stephanie H Chen, Jacob R Lepard, Michael C Dewan, Olufemi B Bankole, John Mugamba, Peter Ssenyonga, Abhaya V Kulkarni

“…This study evaluated a new evidence-based treatment algorithm to reduce shunt-dependence in this context.Methods A prospective cohort design was used. …”
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The Relationship Between Appropriateness of Antibiotic Use Based on the Gyssens Algorithm and Mortality: A Retrospective Cohort Study in Indonesian Tertiary Hospital by Fadrian Fadrian, Gestina Aliska, Widya Nur Utami

“…Djamil Central General Hospital by using the Gyssens algorithm. Methods: This was a retrospective cohort study at Dr. …”
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Using Deep Learning algorithms to detect the success or failure of the Electroconvulsive Therapy (ECT) sessions by usef faghihi, Cyrus kalantarpour

“…However, there is no standard way to know how and with what intensity a healthcare professional needs to apply electroshock to treat patients with MDD. So far, to our knowledge, researchers have used multi-parametric magnetic resonance imaging (MRI) techniques combined with statistical methods and/or linear machine learning algorithms to predict patients’ responses to ECT. …”
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Non-invasive respiratory support paths in hospitalized patients with COVID-19: proposal of an algorithm by J.C. Winck, R. Scala

“…COVID-19 related Acute Respiratory Failure, may be successfully treated with Conventional Oxygen therapy, High Flow Nasal Cannula, Continuous Positive Airway Pressure or Bi-level Positive-Pressure ventilation. …”
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Characterization of High-Speed Steels—Experimental Data and Their Evaluation Supported by Machine Learning Algorithms by Manfred Wiessner, Ernst Gamsjäger

“…X-ray diffractograms of high-speed steels are analyzed using machine learning algorithms to accurately classify various heat treatments. …”
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Forecasting the progression of Alzheimer's disease using neural networks and a novel preprocessing algorithm by Jack Albright, Alzheimer's Disease Neuroimaging Initiative

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Numerical solution of nonlinear Schrödinger equation by a hybrid pseudospectral-variational quantum algorithm by Nikolas Köcher, Hendrik Rose, Sachin S. Bharadwaj, Jörg Schumacher, Stefan Schumacher

“…Abstract The time-dependent one-dimensional nonlinear Schrödinger equation (NLSE) is solved numerically by a hybrid pseudospectral-variational quantum algorithm that connects a pseudospectral step for the Hamiltonian term with a variational step for the nonlinear term. …”
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Rewriting the Narrative of AI Bias: A Data Feminist Critique of Algorithmic Inequalities in Healthcare by Pin Lean Lau

“…These disparities are further reinforced by androcentric medical epistemologies where white male bodies are treated as the universal norm. Additionally, the ‘othering’ of marginalised communities manifests in algorithmic exclusions or biases, where AI systems flag non-dominant populations as statistical anomalies rather than central subjects, reinforcing structural biases in healthcare access and treatment. …”
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Mitigating Sinkhole Attacks in MANET Routing Protocols using Federated Learning HDBNCNN Algorithm by Sherril Sophie Maria Vincent

“…Moreover a decentralized feature of MANETs are specifically exposed to treats and emphasize the necessity of distinct solutions. …”
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Integrating response surface methodology and decision tree algorithms for valorization of cheese whey wastewater by Iremsu Kayan, Nilgun Ayman Oz

“…The goal of this study is to find optimum conditions for microalgae growth and the concentration of cheese whey wastewater (CWW) to get the best treatment efficiency by using response surface methodology (RSM) and the decision tree algorithm for different pollutant parameters. The study used reactors with different amounts of CWW and Nannochloropsis sp. to find the best concentrations for each parameter. …”
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HILL CLIMBING ALGORITHM ON BAYESIAN NETWORK TO DETERMINE PROBABILITY VALUE OF SYMPTOMS AND EYE DISEASE by Ria Puan Adhitama, Dewi Retno Sari Saputro, Sutanto Sutanto

“…The approach method used is scored based on the evaluation process with the bic scoring function. The algorithm used in this study is the HC algorithm. The research data used consisted of 52 symptoms and 15 eye diseases. …”
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GFEA: Leader Election Algorithm for Choosing a GroupDecision Support System Facilitator by Sabir Mohammedi Taieb, Mohamed Adnane Laredj

“…Consequently, we proposed a new distributed election algorithm called GFEA (GDSS Facilitator Election Algorithm) that is designed to choose a facilitator within a GDSS. …”
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