Design of a home-based intervention for Houston-area African-American adults with asthma: Methods and lessons learned from a pragmatic randomized trial. (Abstract Link) Bruhl RJ, Perkison WB, Hanania NA, McNeill LH, Oluyomi AO, Fiesinger EB, Minard CG, Solomon A, Hamilton WJ, Butler B, Caldwell J, Crosby E, Davis C, Galvan H, Harris R, Lacour-Chestnut F, Martin C, Pannell S, Phipps K, Richardson G, Solomon A, White W, Boles J, Rangel A, Virk R, Brock M, Guffey D, Ramamurthy U, Persse D, Maffei S, Chan W, Reyes B, Contemp Clin Trials. 2020 April; 91:105977. PMID: 32151753.
Parental interest in genomic sequencing of newborns: enrollment experience from the BabySeq Project. (Abstract Link) Genetti CA, Schwartz TS, Robinson JO, VanNoy GE, Petersen D, Pereira S, Fayer S, Peoples HA, Agrawal PB, Betting WN, Holm IA, McGuire AL, Waisbren SE, Yu TW, Green RC, Beggs AH, Parad RB; BabySeq Project Team. Genet Med. 2019 Mar;21(3):622-630. doi: 10.1038/s41436-018-0105-6. Epub 2018 Sep 13. PMID: 30209271.
Interpretation of Genomic Sequencing Results in Healthy and Ill Newborns: Results from the BabySeq Project. (Abstract Link) Ceyhan-Birsoy O, Murry JB, Machini K, Lebo MS, Yu TW, Fayer S, Genetti CA, Schwartz TS, Agrawal PB, Parad RB, Holm IA, McGuire AL, Green RC, Rehm HL, Beggs AH; BabySeq Project Team. Am J Hum Genet. 2019 Jan 3;104(1):76-93. doi: 10.1016/j.ajhg.2018.11.016. PMID: 30609409.
Perceived Benefits, Risks, and Utility of Newborn Genomic Sequencing in the BabySeq Project. (Abstract Link) Pereira S, Robinson JO, Gutierrez AM, Petersen DK, Hsu RL, Lee CH, Schwartz TS, Holm IA, Beggs AH, Green RC, McGuire AL; BabySeq Project Group. Pediatrics. 2019 Jan;143(Suppl 1):S6-S13. doi: 10.1542/peds.2018-1099C. PMID: 30600265.
Challenging the Current Recommendations for Carrier Testing in Children. (Abstract Link) VanNoy GE, Genetti CA, McGuire AL, Green RC, Beggs AH, Holm IA; BabySeq Project Group. Pediatrics. 2019 Jan;143(Suppl 1):S27-S32. doi: 10.1542/peds.2018-1099F. PMID: 30600268.
Returning a Genomic Result for an Adult-Onset Condition to the Parents of a Newborn: Insights From the BabySeq Project. (Abstract Link) Holm IA, McGuire A, Pereira S, Rehm H, Green RC, Beggs AH; BabySeq Project Team. Pediatrics. 2019 Jan;143(Suppl 1):S37-S43. doi: 10.1542/peds.2018-1099H. PMID: 30600270.
An Academic Relative Value Unit System for Incentivizing the Academic Productivity of Surgery Faculty Members. (Abstract Link) LeMaire SA, Trautner BW, Ramamurthy U, Green SY, Zhang Q, Fisher WE, Rosengart TK, Ann Surg. 2018 Sep; 268(3):526-533. PMID: 30004925.
Reconciling newborn screening and a novel splice variant in BTD associated with partial biotinidase deficiency: a BabySeq Project case report. (Abstract Link) Murry JB, Machini K, Ceyhan-Birsoy O, Kritzer A, Krier JB, Lebo MS, Fayer S, Genetti CA, VanNoy GE, Yu TW, Agrawal PB, Parad RB, Holm IA, McGuire AL, Green RC, Beggs AH, Rehm HL; BabySeq Project Team. Cold Spring Harb Mol Case Stud. 2018 Aug 1;4(4):a002873. doi: 10.1101/mcs.a002873. Print 2018 Aug. PMID: 29728376.
The BabySeq project: implementing genomic sequencing in newborns. (Abstract Link) Holm IA, Agrawal PB, Ceyhan-Birsoy O, Christensen KD, Fayer S, Frankel LA, Genetti CA, Krier JB, LaMay RC, Levy HL, McGuire AL, Parad RB, Park PJ, Pereira S, Rehm HL, Schwartz TS, Waisbren SE, Yu TW; BabySeq Project Team, Green RC, Beggs AH. BMC Pediatr. 2018 Jul 9;18(1):225. doi: 10.1186/s12887-018-1200-1. PMID: 29986673.
Individualized growth assessment: conceptual framework and practical implementation for the evaluation of fetal growth and neonatal growth outcome. (Abstract Link) Deter RL, Lee W, Yeo L, Erez O, Ramamurthy U, Naik M, Romero R, Am J Obstet Gynecol. 2018 Feb; 218(2S):S656-S678. PMID: 29422206.
Diagnostic Yield of Clinical Tumor and Germline Whole-Exome Sequencing for Children With Solid Tumors. (Abstract Link) Parsons DW, Roy A, Yang Y, Wang T, Scollon S, Bergstrom K, Kerstein RA, Gutierrez S, Petersen AK, Bavle A, Lin FY, López-Terrada DH, Monzon FA, Hicks MJ, Eldin KW, Quintanilla NM, Adesina AM, Mohila CA, Whitehead W, Jea A, Vasudevan SA, Nuchtern JG, Ramamurthy U, McGuire AL, Hilsenbeck SG, Reid JG, Muzny DM, Wheeler DA, Berg SL, Chintagumpala MM, Eng CM, Gibbs RA, Plon SE, JAMA Oncology, Jan 28, 2016. PMID: 26822237.
Obtaining informed consent for clinical tumor and germline exome sequencing of newly diagnosed childhood cancer patients. (Abstract Link) Scollon S, Bergstrom K, Kerstein RA, Wang T, Hilsenbeck SG, Ramamurthy U, Gibbs RA, Eng CM, Chintagumpala MM, Berg SL, McCullough LB, McGuire AL, Plon SE, Parsons DW, Genome Medicine, 6(9): 69, 2014. PMID: 25317207
A prospective newborn screening and treatment program for sickle cell anemia in Luanda, Angola. (Abstract Link) McGann PT, Ferris MG, Ramamurthy U, Santos B, de Oliveira V, Bernardino L, and Ware RE, American Journal of Hematology, Vol. 88, Issue 12, p 984-989, 2013. PMID: 24038490
Self-System in a Model of Cognition. (Abstract Link) Uma Ramamurthy, Stan Franklin, and Pulin Agrawal, International Journal of Machine Consciousness (IJMC), Vol. 4, No. 2, p 325-333, 2012.
Memory Systems for Cognitive Agents. (PDF) Uma Ramamurthy and Stan Franklin, in the Proceedings of Human Memory for Artificial Agents Symposium at the Artificial Intelligence and Simulation of Behavior Convention (AISB'11), University of York, UK, p. 35-40, 2011.
Self System in a Model of Cognition. (PDF) Uma Ramamurthy and Stan Franklin, in the Proceedings of Machine Consciousness Symposium at the Artificial Intelligence and Simulation of Behavior Convention (AISB'11), University of York, UK, p. 51-54, 2011.
Resilient Architectures to facilitate both Functional Consciousness and Phenomenal Consciousness in Machines. Uma Ramamurthy and Stan Franklin, International Journal of Machine Consciousness (IJMC), Vol. 1, Issue 2, p. 243-253, 2009.
An Operational Perspective of Challenging Statistical Dogma while Establishing a Modern, Secure Distributed Data Management and Imaging Transport System - The Pediatric Brain Tumor Consortium Phase I Experience. (Abstract Link) Arzu Onar, Uma Ramamurthy, Dana Wallace and James M. Boyett, Clinical and Translational Science, Vol. 2, Issue 2, p. 143-149, April 2009. PMID: 20443880.
Evolutionary Pressures for Perceptual Stability and Self as Guides to Machine Consciousness. Stan Franklin, Sidney D'Mello, Bernard J. Baars, and Uma Ramamurthy, International Journal of Machine Consciousness (IJMC), Vol.1, No.1, p. 99-110, 2009.
A Phenomenally Conscious Robot? Stan Franklin, Bernard J. Baars, and Uma Ramamurthy, Newsletter on Philosophy and Computers, APA Newsletters, Fall 2008, Vol. 08, No.1.
Establishment and Results of a Magnetic Resonance Quality Assurance Program for the Pediatric Brain Tumor Consortium. (Abstract Link) Mulkern RV, Forbes P, Dewey K, Osganian S, Clark M, Wong S, Ramamurthy U, Kun LE, Poussaint TY, Academic Radiology, September 2008. PMID: 18692750.
Might a LIDA Controlled Robot be Phenomenally Conscious? Uma Ramamurthy, Nokia Workshop on Machine Consciousness 2008, Helsinki, August 2008.
LIDA: A Computational Model of Global Workspace Theory and Developmental Learning. Stan Franklin, Uma Ramamurthy, Sidney K. D'Mello, Lee McCauley, Aregahegn Negatu, Rodrigo Silva L., and Vivek Datla, AAAI 2007 Fall Symposium - AI and Consciousness: Theoretical Foundations and Current Approaches, Washington, D.C., November 2007.
A Paperless, Distributed Data Management System for Multi-Center Clinical Trials. Uma Ramamurthy, Xingquan Lu, Zhou Ji, Prasanna Velamuru, Swapna Bavanaka, Kiran Rajaya, Larry E. Kun, and James M. Boyett, 28th Meeting of the Society for Clinical Trials, Montreal, Canada, May 2007.
The Neuroimaging Center of the Pediatric Brain Tumor Consortium – Collaborative Neuroimaging in Pediatric Brain Tumor Research: A Work in Progress. Tina Young Poussaint, MD, Peter Phillips, MD, Sridhar Vajapeyam, PhD, Fred Fahey, DSc, Richard Robertson, MD, Stravoula Osganian, MD, Uma Ramamurthy, PhD, Robert Mulkern, PhD, Ted Treves, MD, James Boyett, PhD, and Larry Kun, MD, American Journal of Neuroradiology, April 2007.
How deliberate, spontaneous and unwanted memories emerge in a computational model of consciousness. Bernard J. Baars, Uma Ramamurthy, and Stan Franklin, Chapter in Involuntary Memory (Editor: John H. Mace), Blackwell Publishing (2007).
Motivations, Values and Emotions: 3 sides of the same coin. (PDF) Stan Franklin and Uma Ramamurthy, Proceedings of the Sixth International Workshop on Epigenetic Robotics, Paris, France, September 2006, Lund University Cognitive Studies, 128; p. 41-48.
Realizing Forgetting in a Modified Sparse Distributed Memory System. (PDF) Uma Ramamurthy, Sidney K. D'Mello, and Stan Franklin, The 28th Annual Conference of the Cognitive Science Society, Vancouver, Canada, July 2006, p. 1992-1997.
A Procedural Learning Mechanism for Novel Skill Acquisition. (PDF) Sidney K. D'Mello, Uma Ramamurthy, Aregahegn Negatu , and Stan Franklin, Workshop on Motor Development at AISB'06: Adaptation in Artificial and Biological Systems, University of Bristol, England, April 2006. (Eds: Tim Kovacs and James A. R. Marshall, Vol 1, p. 184-185, published by Society for the Study of Artificial Intelligence and the Simulation of Behaviour)
LIDA: A Working Model of Cognition. (PDF) Uma Ramamurthy, Bernard J. Baars, Sidney K. D'Mello, and Stan Franklin, The 7th International Conference on Cognitive Modeling, Trieste, Italy, April 2006. (Eds: Danilo Fum, Fabio Del Missier and Andrea Stocco, p. 244-249, published by Edizioni Goliardiche, Trieste)
A Cognitive Science based Machine Learning Architecture. (PDF) Sidney K. D'Mello, Stan Franklin, Uma Ramamurthy and Bernard J. Baars, AAAI-2006 Spring Symposium, Stanford University, California, March 2006.
The Role of Consciousness in Memory. Stan Franklin, Bernard J. Baars, Uma Ramamurthy, Matthew Ventura, in Brains, Minds and Media, Vol.1, 2005 (bmm150) (PDF) (urn:nbn:de:0009-3-1505).
Encoding and Retrieval Efficiency of Episodic Data in a Modified Sparse Distributed Memory System. (PDF) Sidney K. D'Mello, Uma Ramamurthy and Stan Franklin, 27th Annual Meeting of the Cognitive Science Society (CogSci2005), Stresa, Italy, July 2005.
Role of Consciousness in Episodic Memory Processes. (ASSC9 Abstract) Uma Ramamurthy, Sidney K. D'Mello and Stan Franklin, presented at the Ninth Annual Meeting of the Association for the Scientific Study of Consciousness (ASSC9), California Institute of Technology, Pasadena, June 2005.
Self-Preservation Mechanisms for Cognitive Software Agents. (PDF) Uma Ramamurthy and Stan Franklin, in the Proceedings of the First World Congress on Lateral-Computing (WCLC2004), Bangalore, India, December 2004.
Modified Sparse Distributed Memory as Transient Episodic Memory for Cognitive Software Agents. (PDF) Uma Ramamurthy, Sidney K. D'Mello, and Stan Franklin, in the Proceedings of the IEEE International Conference on Systems, Man and Cybernetics - SMC2004, The Hague, Netherlands, October, 2004.
Modeling Memory Systems with Global Workspace Theory. (ASSC7 Abstract) Uma Ramamurthy, Sidney K. D'Mello, and Stan Franklin, presented at the Seventh Conference of the Association for the Scientific Study of Consciousness (ASSC7), Memphis, May-June, 2003.
Learning Mechanisms for Intelligent Systems. (PDF) Uma Ramamurthy, Aregahegn Negatu, and Stan Franklin, in the Proceedings of SSGRR-2001 International Conference on Advances in Infrastructure for e-Business, e-Education and e-Science on the Internet, L'Aquila, Italy, August 2001.
'Consciousness' and Conceptual Learning In A Socially Situated Agent. (PDF) Myles Bogner, Uma Ramamurthy, and Stan Franklin, Chapter in Human Cognition and Social Agent Technology (Editor: Kerstin Dautenhahn). Published by John Benjamins Publishing Company, Advances in Consciousness Research Series, 19 (1999).
Conscious Learning In An Adaptive Software Agent. (PDF) Uma Ramamurthy, Myles Bogner, and Stan Franklin, in Proceedings of The Second Asia Pacific Conference on Simulated Evolution and Learning, Canberra, Australia, November 1998.
Learning Concepts in Software Agents. (PDF) Uma Ramamurthy, Stan Franklin, and Aregahegn Negatu in From Animals to Animat 5: Proceedings of The Fifth International Conference on Simulation of Adaptive Behavior (SAB98) Zurich, Switzerland, August 1998; MIT Press, p. 372-377.
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