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Amin I. Kassis

Researcher at Harvard University

Publications -  219
Citations -  6191

Amin I. Kassis is an academic researcher from Harvard University. The author has contributed to research in topics: Antibody & DNA. The author has an hindex of 41, co-authored 219 publications receiving 5886 citations. Previous affiliations of Amin I. Kassis include University of Texas MD Anderson Cancer Center & Case Western Reserve University.

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Journal Article

Radiobiologic Principles in Radionuclide Therapy

TL;DR: The special features that characterize the biologic effects consequent to the traversal of charged particles through mammalian cells are explored with respect to DNA lesions and cellular responses.
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Therapeutic radionuclides: biophysical and radiobiologic principles.

TL;DR: This review explores the special features that distinguish the biologic effects consequent to the traversal of charged particles through mammalian cells and highlights what has been learned when these radionuclides and radiotargeting pharmaceuticals are used to treat cancers.
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Biological studies of a new class of technetium complexes: the hexakis(alkylisonitrile)technetium(I) cations

TL;DR: Biological distribution and imaging data in animals indicate that certain members of this class of cationic technetium compounds may be effective for cardiac imaging in man.
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Bystander effect produced by radiolabeled tumor cells in vivo

TL;DR: In vivo findings significantly impact the current dogma for assessing the therapeutic potential of internally administered radionuclides and call for reevaluation of the approaches currently used for estimating the risks to individuals and populations inadvertently exposed internally to radioactivity as well as to patients undergoing routine diagnostic nuclear medical procedures.
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Target discovery from data mining approaches.

TL;DR: In response to the huge demand of data mining for target discovery in the 'omics' era, this review explicates various data mining approaches and their applications to target discovery with emphasis on text and microarray data analysis.