RD
Ritankar Das
machine learningMachine learningMachine LearningCOVID-19predictionPredictionSepsisClinical decision support systemsElectronic health recordsAlgorithm
On Valency
published · living versionsW_6zw574ka·v2 · currentpublished
Reaction-Network-Level Discovery of Ammonia Synthesis Catalysts via Ten-Million-Scale Generative Exploration
with Ruili Li, Rui Qi, Shuoqi Zhang, Qingli Tang +3
2 versions
Preprints & journals
63 papers in the corpus · 2016–2026GroundGUI: GUI Grounding by High-Quality Data and Distillation-to-Reinforcement Learning2610.19100v1 · Qingsong Xie, Jiahao Tian, Jiacheng Tang et al.2026 · 0 citationsarXiv
Autocata: Reaction-network-guided autonomous catalyst screening via capability-centric AI2609.39060v1 · Ruili Li, Rui Qi, Qingqing Mao et al.2026 · 0 citationsarXiv
Application-driven pedagogical knowledge optimization of open-source LLMs via reinforcement learning and supervised fine-tuning.42459769 · Singh, Navan Preet, Wang, Xiaokun, Garikipati, Anurag et al.2026 · 0 citationsFrontiers in artificial intelligence. 2026;9:1851993
Reaction-Network-Level Discovery of Ammonia Synthesis Catalysts via Ten-Million-Scale Generative Exploration2606.22926v2 · Ruili Li, Rui Qi, Shuoqi Zhang et al.2026 · 0 citationsarXivon Valency
Interpretability-Guided Layer Selection over Subspace Projection: SAEs as Stethoscopes, Not Scalpels, for Raw Task Vector Model Editing2605.28649v1 · Li Lei, Madalina Ciobanu, Qingqing Mao et al.2026 · 0 citationsarXiv
Generative intelligence explores the chemical space of ten million catalysts.42181064 · Li, Ruili, Zhang, Shuoqi, Tang, Qingli et al.2026 · 2 citationsChemical science. 2026;17(26):12996-13006
Parent-Led Applied Behavior Analysis to Impact Clinical Outcomes for Individuals on the Autism Spectrum: Retrospective Chart Review.39476396 · Garikipati, Anurag, Ciobanu, Madalina, Singh, Navan Preet et al.2024 · 3 citationsJMIR pediatrics and parenting. 2024;7:e62878
OpenMedLM: prompt engineering can out-perform fine-tuning in medical question-answering with open-source large language models.38898116 · Maharjan, Jenish, Garikipati, Anurag, Singh, Navan Preet et al.2024 · 111 citationsScientific reports. 2024;14(1):14156
Machine Learning Approach with Harmonized Multinational Datasets for Enhanced Prediction of Hypothyroidism in Patients with Type 2 Diabetes.38893680 · Adelson, Robert P, Garikipati, Anurag, Zhou, Yunfan et al.2024 · 4 citationsDiagnostics (Basel, Switzerland). 2024;14(11)
Family-Centric Applied Behavior Analysis Facilitates Improved Treatment Utilization and Outcomes.38673682 · Adelson, Robert P, Ciobanu, Madalina, Garikipati, Anurag et al.2024 · 9 citationsJournal of clinical medicine. 2024;13(8)
Machine Learning Approach for Improved Longitudinal Prediction of Progression from Mild Cognitive Impairment to Alzheimer's Disease.38201322 · Adelson, Robert P, Garikipati, Anurag, Maharjan, Jenish et al.2024 · 23 citationsDiagnostics (Basel, Switzerland). 2023;14(1)
Machine Learning Differentiation of Autism Spectrum Sub-Classifications.37751097 · Thapa, R, Garikipati, A, Ciobanu, M et al.2024 · 24 citationsJournal of autism and developmental disorders. 2024;54(11):4216-4231
Clinical Outcomes of a Hybrid Model Approach to Applied Behavioral Analysis Treatment.36998917 · Garikipati, Anurag, Ciobanu, Madalina, Singh, Navan Preet et al.2023 · 5 citationsCureus. 2023;15(3):e36727
Machine learning determination of applied behavioral analysis treatment plan type.36862316 · Maharjan, Jenish, Garikipati, Anurag, Dinenno, Frank A et al.2023 · 20 citationsBrain informatics. 2023;10(1):7
Predicting Falls in Long-term Care Facilities: Machine Learning Study.35363146 · Thapa, Rahul, Garikipati, Anurag, Shokouhi, Sepideh et al.2022 · 49 citationsJMIR aging. 2022;5(2):e35373
Machine learning to predict progression of non-alcoholic fatty liver to non-alcoholic steatohepatitis or fibrosis.35355667 · Ghandian, Sina, Thapa, Rahul, Garikipati, Anurag et al.2024 · 27 citationsJGH open : an open access journal of gastroenterology and hepatology. 2022;6(3):196-204
Enriching the Study Population for Ischemic Stroke Therapeutic Trials Using a Machine Learning Algorithm.35145468 · Maharjan, Jenish, Ektefaie, Yasha, Ryan, Logan et al.2022 · 7 citationsFrontiers in neurology. 2021;12:784250
Mortality, disease progression, and disease burden of acute kidney injury in alcohol use disorder subpopulation.35081403 · Maharjan, Jenish, Le, Sidney, Green-Saxena, Abigail et al.2022 · 5 citationsThe American journal of the medical sciences. 2022;364(1):46-52
A comparative analysis of machine learning approaches to predict C. difficile infection in hospitalized patients.35067382 · Panchavati, Saarang, Zelin, Nicole S, Garikipati, Anurag et al.2022 · 15 citationsAmerican journal of infection control. 2022;50(3):250-257
Predicting pulmonary embolism among hospitalized patients with machine learning algorithms.35506114 · Ryan, Logan, Maharjan, Jenish, Mataraso, Samson et al.2022 · 42 citationsPulmonary circulation. 2022;12(1):e12013
Prediction of diabetic kidney disease with machine learning algorithms, upon the initial diagnosis of type 2 diabetes mellitus.35046014 · Allen, Angier, Iqbal, Zohora, Green-Saxena, Abigail et al.2022 · 80 citationsBMJ open diabetes research & care. 2022;10(1)
Early prediction of severe acute pancreatitis using machine learning.34690046 · Thapa, Rahul, Iqbal, Zohora, Garikipati, Anurag et al.2022 · 62 citationsPancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.]. 2022;22(1):43-50
Semisupervised Deep Learning Techniques for Predicting Acute Respiratory Distress Syndrome From Time-Series Clinical Data: Model Development and Validation Study.34398784 · Lam, Carson, Tso, Chak Foon, Green-Saxena, Abigail et al.2021 · 20 citationsJMIR formative research. 2021;5(9):e28028
Early prediction of central line associated bloodstream infection using machine learning.34428529 · Rahmani, Keyvan, Garikipati, Anurag, Barnes, Gina et al.2022 · 42 citationsAmerican journal of infection control. 2022;50(4):440-445
Personalized stratification of hospitalization risk amidst COVID-19: A machine learning approach.34367900 · Lam, Carson, Calvert, Jacob, Siefkas, Anna et al.2024 · 14 citationsHealth policy and technology. 2021;10(3):100554
Application of deep learning to identify COVID-19 infection in posteroanterior chest X-rays.34425544 · Maharjan, Jenish, Calvert, Jacob, Pellegrini, Emily et al.2021 · 6 citationsClinical imaging. 2021;80:268-273
Predicting ventilator-associated pneumonia with machine learning.34115013 · Giang, Christine, Calvert, Jacob, Rahmani, Keyvan et al.2021 · 50 citationsMedicine. 2021;100(23):e26246
Correlation of Population SARS-CoV-2 Cycle Threshold Values to Local Disease Dynamics: Exploratory Observational Study.33999831 · Tso, Chak Foon, Garikipati, Anurag, Green-Saxena, Abigail et al.2021 · 30 citationsJMIR public health and surveillance. 2021;7(6):e28265
Prediction of short-term mortality in acute heart failure patients using minimal electronic health record data.33789700 · Radhachandran, Ashwath, Garikipati, Anurag, Zelin, Nicole S et al.2021 · 20 citationsBioData mining. 2021;14(1):23
Machine Learning as a Precision-Medicine Approach to Prescribing COVID-19 Pharmacotherapy with Remdesivir or Corticosteroids.33865643 · Lam, Carson, Siefkas, Anna, Zelin, Nicole S et al.2021 · 25 citationsClinical therapeutics. 2021;43(5):871-885
COVID-19 Evidence Accelerator: A parallel analysis to describe the use of Hydroxychloroquine with or without Azithromycin among hospitalized COVID-19 patients.33730088 · Stewart, Mark, Rodriguez-Watson, Carla, Albayrak, Adem et al.2021 · 12 citationsPloS one. 2021;16(3):e0248128
Convolutional Neural Network Model for Intensive Care Unit Acute Kidney Injury Prediction.34013107 · Le, Sidney, Allen, Angier, Calvert, Jacob et al.2024 · 67 citationsKidney international reports. 2021;6(5):1289-1298
A Machine Learning Approach to Predict Deep Venous Thrombosis Among Hospitalized Patients.33625875 · Ryan, Logan, Mataraso, Samson, Siefkas, Anna et al.2021 · 57 citationsClinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis. 2021;27:1076029621991185
Is Machine Learning a Better Way to Identify COVID-19 Patients Who Might Benefit from Hydroxychloroquine Treatment?-The IDENTIFY Trial.33256141 · Burdick, Hoyt, Lam, Carson, Mataraso, Samson et al.2020 · 12 citationsJournal of clinical medicine. 2020;9(12)
Validation of a machine learning algorithm for early severe sepsis prediction: a retrospective study predicting severe sepsis up to 48 h in advance using a diverse dataset from 461 US hospitals.33109167 · Burdick, Hoyt, Pino, Eduardo, Gabel-Comeau, Denise et al.2021 · 47 citationsBMC medical informatics and decision making. 2020;20(1):276
A Racially Unbiased, Machine Learning Approach to Prediction of Mortality: Algorithm Development Study.33090117 · Allen, Angier, Mataraso, Samson, Siefkas, Anna et al.2021 · 51 citationsJMIR public health and surveillance. 2020;6(4):e22400
Mortality prediction model for the triage of COVID-19, pneumonia, and mechanically ventilated ICU patients: A retrospective study.33042536 · Ryan, Logan, Lam, Carson, Mataraso, Samson et al.2022 · 78 citationsAnnals of medicine and surgery (2012). 2020;59:207-216
Prediction of respiratory decompensation in Covid-19 patients using machine learning: The READY trial.32798922 · Burdick, Hoyt, Lam, Carson, Mataraso, Samson et al.2020 · 149 citationsComputers in biology and medicine. 2020;124:103949
Supervised machine learning for the early prediction of acute respiratory distress syndrome (ARDS).32777759 · Le, Sidney, Pellegrini, Emily, Green-Saxena, Abigail et al.2021 · 102 citationsJournal of critical care. 2020;60:96-102
Effect of a sepsis prediction algorithm on patient mortality, length of stay and readmission: a prospective multicentre clinical outcomes evaluation of real-world patient data from US hospitals.32354696 · Burdick, Hoyt, Pino, Eduardo, Gabel-Comeau, Denise et al.2020 · 80 citationsBMJ health & care informatics. 2020;27(1)
Multicenter validation of a machine-learning algorithm for 48-h all-cause mortality prediction.31884847 · Mohamadlou, Hamid, Panchavati, Saarang, Calvert, Jacob et al.2021 · 20 citationsHealth informatics journal. 2020;26(3):1912-1925
Pediatric Severe Sepsis Prediction Using Machine Learning.31681711 · Le, Sidney, Hoffman, Jana, Barton, Christopher et al.2020 · 116 citationsFrontiers in pediatrics. 2019;7:413
Evaluation of a machine learning algorithm for up to 48-hour advance prediction of sepsis using six vital signs.31035074 · Barton, Christopher, Chettipally, Uli, Zhou, Yifan et al.2020 · 174 citationsComputers in biology and medicine. 2019;109:79-84
Machine-Learning-Based Laboratory Developed Test for the Diagnosis of Sepsis in High-Risk Patients.30781800 · Calvert, Jacob, Saber, Nicholas, Hoffman, Jana et al.2020 · 33 citationsDiagnostics (Basel, Switzerland). 2019;9(1)
Effect of a Sepsis Prediction Algorithm on Patient Mortality, Length of Stay, and Readmission10.1101/457465v2 · Burdick, H., Pino, E., Gabel-Comeau, D. et al.2018 · 7 citationsbioRxiv
Prediction of Acute Kidney Injury With a Machine Learning Algorithm Using Electronic Health Record Data.30094049 · Mohamadlou, Hamid, Lynn-Palevsky, Anna, Barton, Christopher et al.2022 · 159 citationsCanadian journal of kidney health and disease. 2018;5:2054358118776326
Multicentre validation of a sepsis prediction algorithm using only vital sign data in the emergency department, general ward and ICU.29374661 · Mao, Qingqing, Jay, Melissa, Hoffman, Jana L et al.2018 · 336 citationsBMJ open. 2018;8(1):e017833
Evaluating a sepsis prediction machine learning algorithm in the emergency department and intensive care unit: a before and after comparative study10.1101/224014v2 · Burdick, H., Pino, E., Gabel-Comeau, D. et al.2017 · 20 citationsbioRxiv
Effect of a machine learning-based severe sepsis prediction algorithm on patient survival and hospital length of stay: a randomised clinical trial.29435343 · Shimabukuro, David W, Barton, Christopher W, Feldman, Mitchell D et al.2022 · 382 citationsBMJ open respiratory research. 2017;4(1):e000234
Reducing patient mortality, length of stay and readmissions through machine learning-based sepsis prediction in the emergency department, intensive care unit and hospital floor units.29450295 · McCoy, Andrea, Das, Ritankar2022 · 147 citationsBMJ open quality. 2017;6(2):e000158
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