1985 — 1987 |
Kulikowski, Casimir Alexander |
P41Activity Code Description: Undocumented code - click on the grant title for more information. |
Research Resource On Computers in Biomedicine @ Rutgers the St Univ of Nj New Brunswick
The general objective of the Rutgers Resource is to apply advanced methods of computer science, particularly artificial intelligence, to problems of biomedical research and practice. The Resource promotes the development and use of computer systems for expert consultation in medical diagnosis and management, and for research assistance in processes of scientific experimentation and theory formation. Organizing and representing biomedical knowledge at different levels (descriptive, ruled-based mathematical submodels), and relating the levels through generalized strategies for communication and control with a user, constitutes a major component of our proposed reseach. We continue the present structure of the Resource, with a set of core projects concentrating on general artificial intelligence investigations, and a set of collaborative projects that provide the context within which the methods can be tested. The major areas of biomedical application are in rheumatology, where we are collaborating with Drs. D. Lindberg and G. Sharp at the National Library of Medicine and University of Missouri-Columbia, in clinical pathology, where we are working with Dr. Robert Galen of the Cleveland Clinic Foundation, and in ophthalmology, where we have an active collaboration with Dr. C. Dawson at the University of California-San Francisco. An important aspect of our research is technology transfer, producing prototyes that will be useful to clinical researchers and practitioners. We have pioneered developments in this field by putting an expert system in a widely used clinical instrument: a serum protein electrophoresis analyzer. We are proposing to continue these micro-based innovations for two applications: the interpretation of CPK/LDH isoenzymes for the diagnosis of heart attacks and a primary eye care program for developing countries. We also propose to continue our research in rule refinement and empirical analysis of expert system knowledge bases. In addition to the research activities of the Resource, we continue that highly successful dissemination activities of the AIM Workshop series and the Rutgers Resource participation in national AIM collaborative research.
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0.926 |
1988 — 1991 |
Kulikowski, Casimir Alexander |
P41Activity Code Description: Undocumented code - click on the grant title for more information. |
Rutgers Research Resource On Artificial Intelligence @ Rutgers the St Univ of Nj New Brunswick
The general objective of the Rutgers Resource is to apply advanced methods of computer science, particularly artificial intelligence, to problems of biomedical research and practice. The Resource promotes the development and use of computer systems for expert consultation in medical diagnosis and management, and for research assistance in processes of scientific experimentation and theory formation. Organizing and representing biomedical knowledge at different levels (descriptive, ruled-based mathematical submodels), and relating the levels through generalized strategies for communication and control with a user, constitutes a major component of our proposed reseach. We continue the present structure of the Resource, with a set of core projects concentrating on general artificial intelligence investigations, and a set of collaborative projects that provide the context within which the methods can be tested. The major areas of biomedical application are in rheumatology, where we are collaborating with Drs. D. Lindberg and G. Sharp at the National Library of Medicine and University of Missouri-Columbia, in clinical pathology, where we are working with Dr. Robert Galen of the Cleveland Clinic Foundation, and in ophthalmology, where we have an active collaboration with Dr. C. Dawson at the University of California-San Francisco. An important aspect of our research is technology transfer, producing prototyes that will be useful to clinical researchers and practitioners. We have pioneered developments in this field by putting an expert system in a widely used clinical instrument: a serum protein electrophoresis analyzer. We are proposing to continue these micro-based innovations for two applications: the interpretation of CPK/LDH isoenzymes for the diagnosis of heart attacks and a primary eye care program for developing countries. We also propose to continue our research in rule refinement and empirical analysis of expert system knowledge bases. In addition to the research activities of the Resource, we continue that highly successful dissemination activities of the AIM Workshop series and the Rutgers Resource participation in national AIM collaborative research.
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0.926 |
1993 — 1995 |
Kulikowski, Casimir Alexander |
R01Activity Code Description: To support a discrete, specified, circumscribed project to be performed by the named investigator(s) in an area representing his or her specific interest and competencies. |
Rutgers Knowledge-Based Biomedical Imaging Project @ Rutgers the St Univ of Nj New Brunswick
The fundamental objective of our proposed research project is to approach biomedical image interpretation from a very new perspective: that of knowledge-intensive experimental design of the segmentation process itself. We use methods of artificial intelligence, specifically of knowledge representation, diagnostic decision-making, planning and learning, to carry out our objectives. Our central hypothesis is simple: to make significant progress in automating image recognition and measurement tasks we need to treat recognition problems at the level of experimental design, so the best solutions to various types of imaging problems can be derived by a process of explicit specification, testing, and evaluation of different segmentation strategies. We have already built a preliminary prototype of the proposed system, and have tested it on brain lesion recognition problems from multimodality magnetic resonance imaging (MRI). We are now proposing to test both the methodological and practical assumptions underlying the system. We will concentrate on automatic segmentation and interpretation techniques for individual and serial MRI examinations, which will be applied to automatically quantitate CNS changes in patients with tumors, AIDS-related lesions, MS lesions, and other conditions. The significance of this research for MR image interpretation lies in its ability to provide both the clinical researcher and the laboratory investigator the tools needed to carry out their work more efficiently and effectively. In the clinical case we are focusing on the assessment of volume changes in AIDS-related and other lesions to quantitate their response to treatment, and in an industrial laboratory application the quantitation of lesion volumes is also critical in assessing the effectiveness of drugs undergoing testing. In both cases there is a clear potential contribution to biomedical knowledge and future health care.
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0.926 |
1994 — 1996 |
Kulikowski, Casimir |
N/AActivity Code Description: No activity code was retrieved: click on the grant title for more information |
Cise Research Instrumentation: Structuring Client/Server Applications in the Mobile and Wireless Environment @ Rutgers University New Brunswick
9320300 Kulikowski Wireless technology is gaining in popularity very rapidly. Many predict a new emerging, gigantic market where millions of mobile users will carry small, battery powered palmtop based terminals with wireless connections. Mobile users will be in constant need of information for traffic directions, local directory, weather, shopping. The wireless medium will be used as the "first mile" of the information highway which will disseminate massive amounts of information across the country. Before this vision can be realized a number of challenging research problems ranging from telecommunications to data management and distributed systems have to be solved. This award provides equipment to gain implementation experience in deploying Wireless Information Systems dealing with location aware or/and location transparent access to information resources. Wireless infrastructure support is needed to understand the effects of three new aspects of wireless information access: (1) mobility of information consumers (and perhaps producers.) (2) wireless bandwidth and (3) battery power limitations. Methods of supporting wireless services as broadcasting, triggering, ad hoc queries, and network-oriented services (such as ftp, telnet, X window, etc.) for mobile clients will be evaluated and these services over wide areas and regardless of client mobility and disconnection will be supported. This equipment will help to set up a wireless laboratory. With the infrastructure in place, experiments can be conducted to determine the suitability and performance of the proposed concepts, algorithms, and prot ocols and report on the experience of supporting network-oriented information services in a wireless environment. *** RVu 4 MS-DOS_5 ( kT 3COM t WINA20 386 ` $ AUTOEXEC33 Xt V LM VW @$ CONFIG BAK V CONFIG OLD nW WIN31 X 9320300 Kulikowski Wireless technology is gaining in popularity very rapidly. Many predict a new emerging, gigantic market f p . 0 a f $ $ $ G f p f Times Symbol " Helvetica Chicago Times New Roman & Arial 5 Courier New R ZapfDingbats Palatino Greek GenMath MathMeteor MT Extra % % % " t eAj ; Kulikowski/Rutgers Mark Purvis Mark Purvis
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1 |
1998 — 2003 |
Flanagan, James Marsic, Ivan (co-PI) [⬀] Meer, Peter (co-PI) [⬀] Kulikowski, Casimir Goodman, David (co-PI) [⬀] |
N/AActivity Code Description: No activity code was retrieved: click on the grant title for more information |
Kdi: Multimodal Collaboration Across Wired and Wireless Networks @ Rutgers University New Brunswick
This is a three-year continuing award. Collaboration is a hallmark of human activity. But today's society is becoming global, and digital networking-both wired and wireless-aims to serve geographically-dispersed participants. Networks of computers now become a mediating tool in human collaboration. And, their distributed architecture provides new opportunities for expanding human intellect and for enhancing knowledge work. But to be maximally useful the mediating system must be easy to use-preferably transparent to the user. Communication between human and machine should approach the naturalness of face-to-face exchange, where the sensory modalities of sight, sound and touch carry primary responsibilities for information transport. Additionally, supporting software must include intelligent agents able to fuse sensory data into meaningful commands for the machines. New technologies, now evolving, promise greater naturalness in human/machine communication-naturalness that substantially transcends the limitations of traditional mouse and keyboard. Incorporated with audio and video conferencing, these techniques include: eye tracking, visual gesture, hands-free speech recognition, speech synthesis, force-feedback tactile grasp, and manual gesture. Used in natural combination, these modalities provide the human greater dimensions of control and communication, and hence greater effectiveness in networked collaboration.
This new research, aims to establish the basic understanding necessary for the creation and use of multimodal computer interfaces in wired and wireless networks. The research aims to produce a design methodology for multi-user collaboration across heterogeneous architectures and computing environments. As multimodal capabilities evolve, human performance must be addressed as a recognized component of the total system. Optimization of design therefore includes human-factors assessment to quantify the synergies that can be won from multimodal interaction. The new research identifies three application sectors where wired/wireless multimodal collaboration can provide new solutions; they include: Telemedicine (where expert participants may contribute to diagnoses for remote patients); Crisis Management (where disaster relief and emergency aid may be planned and deployed collaboratively); and Mobile Offices (where business activities might be conducted in transit-air, sea or land). The design framework resulting from this research is also applicable to other activities important in today's society, including: ubiquitous and universal access to information systems; increased interaction with the World Wide Web; education and knowledge dissemination; and, new aids for disabled individuals.
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