| 000 | a | ||
|---|---|---|---|
| 999 |
_c31907 _d31907 |
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| 008 | 230420b xxu||||| |||| 00| 0 eng d | ||
| 020 | _a9780691183824 | ||
| 082 |
_a362.10681 _bLOA |
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| 100 | _aLo, Andrew W | ||
| 245 | _aHealthcare finance : modern financial analysis for accelerating biomedical innovation | ||
| 260 |
_bPrinceton University Press, _a2023 _cPrinceton : |
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| 300 |
_axxvii, 390 p. ; _bill., (chiefly col.), _c27 cm |
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| 365 |
_b90.00 _cUSD _d85.90 |
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| 504 | _aIncludes bibliographical references and index. | ||
| 520 | _aAn introductory finance textbook for the healthcare industry We are living amid a golden age of biomedical innovation, yet entrepreneurs still struggle with the so-called "Valley of Death" when seeking funding for their biotech start-ups. In Healthcare Finance, Andrew Lo and Shomesh Chaudhuri show that there are better ways to finance breakthrough therapies, and they provide the essential financial tools and concepts for creating the next generation of healthcare technologies.Geared toward MBA and life sciences students, as well as biopharma executives and healthcare investment professionals, this textbook covers the theory and application of financial techniques such as portfolio theory, discounted cash flow analysis, real options, Monte Carlo simulation, and securitization, all within the context of managing biomedical assets. The book demonstrates that more efficient funding structures can reduce financial risks, lower the cost of capital, and bring more lifesaving therapies to patients faster. Students will gain the background, framework, and techniques needed to reshape the healthcare industry in positive ways. Finance doesn't have to be a zero-sum game, and Healthcare Finance proves that it is possible to do well by doing good.Explores new financing methods for the biopharma industryAccessible explanations for making good business decisions in the life sciencesReal-world examples, case studies, and practical applicationsOnline content includes videos of lectures and recitations, interactive widgets, and self-graded problem sets. | ||
| 650 | _aBiomedical technology | ||
| 650 | _aBiomedical research | ||
| 650 | _aEconomics | ||
| 650 | _aBusiness | ||
| 700 | _aChaudhuri, Shomesh E | ||
| 942 |
_2ddc _cBK |
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