Crops Disease Detection, from Leaves to Field: What We Can Expect from Artificial Intelligence by Youssef Lebrini, Alicia Ayerdi Gotor

Get full text

Noninvasive Blood Glucose Level Monitoring for Predicting Insulin Infusion Rate Using Multivariate Data by G. Geetha, J. Godwin Ponsam, K. Nimala

Get full text

Modification of preoperative preparation as a guarantee of improvement of perioperative treatment in elderly and senile patients by M. B. Danylyuk, S. M. Zavgorodniy, A. I. Rylov, M. A. Кubrak, N. O. Yareshko, A. V. Bachurin

“…Into the control group 89 (58.2 %) patients were included, who were treated in accordance to the standards and clinical protocols, while into the main one - 64 (41.8%) patients, in whom preoperative preparation was modified in accordance to algorithm. …”
Get full text

An ensemble machine learning-based performance evaluation identifies top In-Silico pathogenicity prediction methods that best classify driver mutations in cancer by Subrata Das, Vatsal Patel, Shouvik Chakravarty, Arnab Ghosh, Anirban Mukhopadhyay, Nidhan K. Biswas

“…Despite the presence of numerous bioinformatic algorithms for estimating mutation pathogenicity, there is significant variation in their assessments. …”
Get full text

Predictive value of ENLIGHT-DP in patients with metastatic lung adenocarcinoma treated with immune checkpoint inhibitors and platinum chemotherapy directly from histopathology slid... by Eli Pikarsky, Anna Elia, Gal Dinstag, Omer Tirosh, Tuvik Beker, Ranit Aharonov, Hovav Nechushtan, Leon Gugel, Yaron Kinar, Michael Tabi, Tzivia Gottlieb, Aron Popovtzer, Johnathan Arnon, Yakir Rottenberg, Philip Blumenfeld

“…We present an analysis of ENLIGHT-DP, a novel transcriptome-based biomarker directly from histopathology slides, in patients with lung adenocarcinoma (LUAD) treated with ICI and platinum-based chemotherapy.Methods We retrospectively scanned high-resolution H&E slides from pretreatment tumor-tissue samples of 50 patients with metastatic LUAD treated with first-line ICI with (46) or without (4) platinum-based chemotherapy and applied our ENLIGHT-DP pipeline to generate, in a blinded manner, an individual prediction score. …”
Get full text

MOUD 2.0: a clinical algorithm and implementation evaluation protocol for sublingual and injectable buprenorphine treatment of opioid use disorder by Brandon L. Joa, Eric N. Fung, Michael S. Weinstein, Lara C. Weinstein, Lara C. Weinstein

“…We present the first clinical decision support algorithm incorporating long-acting buprenorphine (LAIB) in primary care. …”
Get full text

Effects of optimized interaction of short-term hypergravity stimulation and nitrate-deficient cultivation in maize root using genetic-immunological algorithms by Ronnie Concepcion II, R-Jay Relano, Adrian Genevie Janairo, Kate Francisco, Lance Garcia, Hugo Montanvert

“…This study pioneered an experimental approach to address the challenges posed by nutrient deficiency in hydroponic environment by integrating Multigene Genetic Programming (MGGP) with immunological computation algorithms, namely Clonal Selection Algorithm (CSA), Ant Colony Optimization Algorithm (ACOA), and COVID Optimization Algorithm (COVIDOA) in determining the exact optimal time exposure to 2 g hypergravity that can induced the growth of three maize genotypes (PSB 92–97, NSIC CN 302, and NSIC CN 282). …”
Get full text

A decision making algorithm for inherited retinal dystrophies, caused by biallelic mutations in the RPE65 gene, in the clinical practice of an ophthalmologist by E. I. Saidasheva, V. V. Kadyshev, V. V. Brzheskiy, N. A. Malinovskaya, K. K. Shefer

Get full text

Exploratory Study on Screening Chronic Renal Failure Based on Fourier Transform Infrared Spectroscopy and a Support Vector Machine Algorithm by Yushuai Yuan, Li Yang, Rui Gao, Cheng Chen, Min Li, Jun Tang, Xiaoyi Lv, Ziwei Yan

“…If the patient is not treated in a timely manner, CRF will develop into uremia. …”
Get full text

Using machine learning algorithms to evaluate the performance of electrocoagulation with membrane bioreactor (EC-MBR) for treatment of organic matters in domestic wastewater by Yousif Zakoor, Hatem Gzar

“… An electrocoagulation with membrane bioreactor technique (EC-MBR) was developed to treat domestic wastewater and prevent membrane fouling. …”
Get full text

Using Sono-Electro-Persulfate Process for Atenolol Removal from Aqueous Solutions: Prediction and Optimization with the ANFIS Model and Genetic Algorithm by Nasrin Zahedi, Bahare Dehdashti, Farzaneh Mohammadi, Maryam Razaghi, Zeynab Moradmand, Mohammad Mehdi Amin

“…Atenolol (ATN) is a drug that is widely used to treat some heart diseases, and since it cannot be completely decomposed in the human body, some amounts of it are found in surface water. …”
Get full text

Simplified clinical algorithm for identifying patients eligible for immediate initiation of antiretroviral therapy for HIV (SLATE): protocol for a randomised evaluation by Mhairi Maskew, Bruce A Larson, Isaac Tsikhutsu, Margaret Bii, Peter D Ehrenkranz, Sydney Rosen, Matthew P Fox, Alana T Brennan, WD Francois Venter

“…Introduction African countries are rapidly adopting guidelines to offer antiretroviral therapy (ART) to all HIV-infected individuals, regardless of CD4 count. For this policy of ‘treat all’ to succeed, millions of new patients must be initiated on ART as efficiently as possible. …”
Get full text

Establishment and assessment of an early screening model for cervical cancer based on single-cell Raman spectroscopy combined with machine learning algorithms by MA Dongmei, ZHAO Wenjie, LIU Shihai, XU Haicang, CAI Duo, JI Yuetong, XU Jian, GUO Cancan, MA Bo, PAN Huazheng

“…Objective To establish an early screening model for cervical cancer based on single-cell Raman spectroscopy (SCRS) combined with machine learning algorithms, and to assess the performance of the model. …”
Get full text

Comparative Performance of Autoencoders and Traditional Machine Learning Algorithms in Clinical Data Analysis for Predicting Post-Staged GKRS Tumor Dynamics by Simona Ruxandra Volovăț, Tudor Ovidiu Popa, Dragoș Rusu, Lăcrămioara Ochiuz, Decebal Vasincu, Maricel Agop, Călin Gheorghe Buzea, Cristian Constantin Volovăț

“…Traditional machine learning (ML) algorithms have been widely used for this purpose; however, recent advancements in deep learning, such as autoencoders, offer the potential to enhance predictive accuracy. …”
Get full text

Development and Internal Validation of Machine Learning Algorithms for Predicting Subsequent Contralateral Slipped Capital Femoral Epiphysis in Patients With Unilateral Slips by David P. VanEenenaam, Jr., BS, Carter Hall, BS, Daniel A. Maranho, MD, PhD, Christopher J. DeFrancesco, MD, Eduardo N. Novais, MD, Wudbhav N. Sankar, MD

“…Machine learning (ML) algorithms can be leveraged to identify complex, nonlinear patterns in data and allow for more accurate predictions on which patients may need a prophylactic pin. …”
Get full text

Incidence of Conjunctivitis and Keratitis Among Individuals with Moderate-to-Severe Atopic Dermatitis Treated with Dupilumab in the United States: a Cohort Study in Routine Care Ba... by Jessica M. Franklin, Andrea F. Marcus, Ihtisham Sultan, Ashley Howell, Sarah-Jo Sinnott, Jeannette Green, Stephen Ezzy, Robert Gately, Rachel E. Sobel, Florence T. Wang

“…The objective of this study was to investigate the incidence of conjunctivitis and keratitis among patients with moderate-to-severe AD treated with dupilumab relative to dupilumab-naïve patients in a real-world setting using validated algorithms. …”
Get full text

An artificial ecological system-based optimization to forecast the maximal TPH removal from Nigeria's Niger Delta crude oil-contaminated soil treated with a mix of biochar by Daniel Hogan Itam, Chimeme Martin Ekwueme, Ibiba Taiwo Horsfall

Get full text

On the accurate computation of expected modularity in probabilistic networks by Xin Shen, Matteo Magnani, Christian Rohner, Fiona Skerman

Get full text

An Intelligent Pattern Recognition Algorithm for Implant Identification in Joint Replacement: A Novel Approach for Hip Replacement Surgery Using Fuzzy Information by Shenghao Zhao, Ying Hu, Jie Tang, Yong Hu, Jun Liu

“…Then, the proposed SMs are used to formalize the pattern recognition algorithm. Finally, the proposed algorithm is utilized to identify the most suitable implant for joint replacement. …”
Get full text

Optimizing P-Chart Performance Using a Percentage-Based Framework: Application to Nonconforming Items in the Manufacturing Sector by Zahid Khan, Aamir Saghir, Attila I. Katona, Zsolt T. Kosztyan

Get full text