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<blockquote type="cite" cite><font
face="Verdana"><b><br></b></font></blockquote>
<blockquote type="cite" cite><font face="Verdana"><b>HST.186 Frontiers
in (bio)Medical Engineering and Physics</b></font></blockquote>
<blockquote type="cite" cite><font face="Verdana">units: 1-0-2,
G-level, graded P/D/F</font></blockquote>
<blockquote type="cite" cite><font face="Verdana">M 2-4pm,<i> meets
from April 3-May 15</i>, location TBA</font></blockquote>
<blockquote type="cite" cite><font face="Verdana">So, here you are in
MEMP. Now what? This course will provide a framework for
'mapping' research topics at the intersection of medicine and
engineering/physics in the Harvard-MIT community and cover the
different research areas i<font color="#000000">n MEMP (for example,
regenerative biomedical technologies, biomedical imaging and
biooptics). Lectures will provide fundamental concepts and also
consider what's hot, and why, in each area. In additio</font>n, a
series of workshops will help students answer the following que<font
color="#000000">stions: "How do I turn my interests into a
thesis?", "How can I identify a research project that is
novel?", "What makes a successful fellowship
proposal?", "How do I give and respond to peer
reviews?".</font></font><br>
</blockquote>
<blockquote type="cite" cite><font face="Verdana">S. Bhatia, M.
Poe<br>
<i>HST.186 can be used in place of HST.595 to fulfill the MEMP
tutorial requirement.</i></font><br>
</blockquote>
<blockquote type="cite" cite><font
face="Verdana"><br></font></blockquote>
<blockquote type="cite" cite><font face="Verdana"><b>HST.188/9.914
Statistics for Neuroscience Research</b></font></blockquote>
<blockquote type="cite" cite><font face="Verdana">prereq: permission
of instructor</font></blockquote>
<blockquote type="cite" cite><font face="Verdana">units: 3-0-9,
G-level</font></blockquote>
<blockquote type="cite" cite><font face="Verdana">MW 9-10.30am, in
46-1015</font></blockquote>
<blockquote type="cite" cite><font face="Verdana">A survey
introduction to statistical reasoning and statistical methods relevant
to neuroscience research. Core topics include introductions to
probability theory, estimation theory, hypothesis testing, linear
models, the generalized linear model, and experimental design.
Additional topics will include Monte Carlo methods, Bayesian methods,
time-series analysis, spectral analysis, and point processes theory.
Emphasis on developing a firm conceptual understanding of the
statistical paradigm and statistical methods primarily through
analyses of actual experimental data. Alternate
years.</font></blockquote>
<blockquote type="cite" cite><font face="Verdana">E.N.
Brown</font></blockquote>
<blockquote type="cite" cite><font
face="Verdana"><br></font></blockquote>
<blockquote type="cite" cite><font face="Verdana"><b>HST.424J/9.24J
Diseases of the Nervous System</b></font></blockquote>
<blockquote type="cite" cite><font face="Verdana">prereq:
9.01</font></blockquote>
<blockquote type="cite" cite><font face="Verdana">units: 3-0-9,
undergrad</font></blockquote>
<blockquote type="cite" cite><font face="Verdana">MW 1-2.30pm, in
46-3310</font></blockquote>
<blockquote type="cite" cite><font face="Verdana">This course is
intended for undergraduates and graduate students with an
interest in neuroscience, bio-medical research and medicine. A wide
variety of diseases will be discussed by clinician-scientists, and
both clinical presentation and molecular mechanisms of diseases will
be presented. Readings will be primarily review and original
articles. Topics include: regional functional anatomy of the
brain through imaging and stroke; degenerative diseases (Parkinson's,
Alzheimer's, ALS); MS; epilepsy; gliomas and CNS stem/precursor cells
as they relate to repair mechanisms and cognitive dysfunction
following brain radiation therapy and chemotherapy for systemic
malignancies. Clinical and pathological findings, differential
diagnosis, genetics, pathophysiology and treatment are discussed.
There will be two exams during the term plus a final
examination.</font></blockquote>
<blockquote type="cite" cite><font face="Verdana">T. N.
Byrne</font></blockquote>
<blockquote type="cite" cite><font
face="Verdana"><br></font></blockquote>
<blockquote type="cite" cite><font
face="Verdana"><br></font></blockquote>
<blockquote type="cite" cite><font face="Verdana"><b>HST.780 Advanced
Speech and Audio Processing (ES257 at Harvard)</b></font></blockquote>
<blockquote type="cite" cite><font face="Verdana">prereq: 6.003 or
ES156 or equivalent</font></blockquote>
<blockquote type="cite" cite><font face="Verdana">units: 3-0-9
H-level</font></blockquote>
<blockquote type="cite" cite><font face="Verdana">time and location
TBA</font></blockquote>
<blockquote type="cite" cite><font face="Verdana">Introduction to
advanced speech and audio processing, including both mathematical
models and practical applications thereof. Time-frequency
analysis, synthesis, modification, and coding of information-carrying
natural sound signals; relevant aspects of acoustics and auditory
perception; fundamental contemporary applications and methodologies.
Students are required to prepare a substantial term project at a level
on par with current research in the field. Subject follows
Harvard FAS schedule - FAS CLASSES START FEBRUARY
1.</font></blockquote>
<blockquote type="cite" cite><font face="Verdana">P. J.
Wolfe</font></blockquote>
<blockquote type="cite" cite><font
face="Verdana"><br></font></blockquote>
<blockquote type="cite" cite><font face="Verdana"><b>HST.854
Evaluating a Biomedical Business Concept</b></font></blockquote>
<blockquote type="cite" cite><font face="Verdana">Prereq:
15.363/HST.971 or permission of instructor</font></blockquote>
<blockquote type="cite" cite><font face="Verdana">units:
1-0-2, H-level</font></blockquote>
<blockquote type="cite" cite><font face="Verdana">M 12:30-2:30pm,<i>
meets from April 3-May 15</i> in E25-119</font></blockquote>
<blockquote type="cite" cite><font face="Verdana">This course will
involve critical analysis of new biomedical business ideas. Inventors
(largely MIT or Harvard faculty and staff) will present their ideas to
the class and provide background material, including scientific papers
and patents. A team of students will be assigned to evaluate each
business idea. The first question to be asked will be Is there a
viable business idea here? If the answer is yes, the students will
develop a series of analyses concerning the critical issues that each
business idea would face. Issues to be considered might include market
opportunity, financing strategies, regulatory hurdles, competitive
threats and estimating potential return on investment. Students will
be encouraged to review scientific, clinical, patent and marketing
literature, as well as to interview key individuals (including the
inventors, potential customers and competitors) who can provide useful
information. In each case, analyses will focus on the issues
most critical for the success of the proposed business concept.
Analyses will be presented to the entire class.</font></blockquote>
<blockquote type="cite" cite><font face="Verdana">R. J.
Cohen</font></blockquote>
<blockquote type="cite" cite><font
face="Verdana"><br></font></blockquote>
<blockquote type="cite" cite><font face="Verdana"><b>HST.987/BE486J
Case Studies and Strategies in Drug Discovery and
Development</b></font></blockquote>
<blockquote type="cite" cite><font face="Verdana">Prereq: Permission
of instructor </font><br>
</blockquote>
<blockquote type="cite" cite><font face="Verdana">units:
2-0-4, H-Level</font></blockquote>
<blockquote type="cite" cite><font face="Verdana">M 3-5pm in
56-614</font></blockquote>
<blockquote type="cite" cite><font face="Verdana">The stages in drug
discovery and development begin with target identification and end
with the submission of preclinical and clinical data to the regulatory
authorities. Following identification of a lead compound, there is
optimization of structures for pharmaceutical properties,
bioavailability, and safety. Subject relies on actual cases of drug
development. A major goal is to analyze the cases and determine how
the discovery and development process might be influenced by new and
future technologies.</font></blockquote>
<blockquote type="cite" cite><font face="Verdana">F. L. Douglas, S. R.
Tannenbaum, A. J. Sinskey</font></blockquote>
<blockquote type="cite" cite><font face="Verdana"><br>
<br>
</font></blockquote>
<blockquote type="cite" cite><font
face="Verdana"><br></font></blockquote>
<blockquote type="cite" cite><font face="Verdana"><br>
<br>
</font></blockquote>
<blockquote type="cite" cite><font color="#000000">--<br>
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~<span
></span>~~~~~~~~~~~</font></blockquote>
<blockquote type="cite" cite><font face="Comic Sans MS"
color="#0000FF">Domingo B. Altarejos</font></blockquote>
<blockquote type="cite" cite><font face="Comic Sans MS"
color="#0000FF">Graduate Administrator<br>
Harvard-MIT Division of Health Sciences and Technology<br>
Massachusetts Institute of Technology<br>
77 Massachusetts Avenue</font></blockquote>
<blockquote type="cite" cite><font face="Comic Sans MS"
color="#0000FF">Building E25, Room 518</font></blockquote>
<blockquote type="cite" cite><font face="Comic Sans MS"
color="#0000FF">Cambridge, MA 02139-4307</font></blockquote>
<blockquote type="cite" cite><font face="Comic Sans MS"
color="#0000FF">Tel: (617) 253-3609</font></blockquote>
<blockquote type="cite" cite><font face="Comic Sans MS"
color="#0000FF">Fax: (617) 253-6692</font></blockquote>
<blockquote type="cite" cite><font face="Comic Sans MS"
color="#0000FF">http://hst.mit.edu</font></blockquote>
<blockquote type="cite" cite><font
color="#000000"
>~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~<span
></span>~~~~~~~~~~~~</font></blockquote>
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