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(430)
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- News (90)
- Research (286)
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- Faculty Publications (166)
Show Results For
- All HBS Web
(430)
- People (1)
- News (90)
- Research (286)
- Events (4)
- Multimedia (4)
- Faculty Publications (166)
- 2022
- Working Paper
Post-market Surveillance of Software Medical Devices: Evidence from Regulatory Data
By: Alexander O. Everhart and Ariel D. Stern
Medical devices increasingly include software components, which facilitate remote patient monitoring. The introduction of software into previously analog medical devices as well as innovation in software-driven devices may introduce new safety concerns—all the more so... View Details
Keywords: Technological Innovation; Safety; Governing Rules, Regulations, and Reforms; Health Care and Treatment; Medical Devices and Supplies Industry
Everhart, Alexander O., and Ariel D. Stern. "Post-market Surveillance of Software Medical Devices: Evidence from Regulatory Data." Harvard Business School Working Paper, No. 23-035, November 2022.
- January–February 2023
- Article
Forecasting COVID-19 and Analyzing the Effect of Government Interventions
By: Michael Lingzhi Li, Hamza Tazi Bouardi, Omar Skali Lami, Thomas Trikalinos, Nikolaos Trichakis and Dimitris Bertsimas
We developed DELPHI, a novel epidemiological model for predicting detected cases and deaths in the prevaccination era of the COVID-19 pandemic. The model allows for underdetection of infections and effects of government interventions. We have applied DELPHI across more... View Details
Keywords: COVID-19 Pandemic; Epidemics; Analytics and Data Science; Health Pandemics; AI and Machine Learning; Forecasting and Prediction
Li, Michael Lingzhi, Hamza Tazi Bouardi, Omar Skali Lami, Thomas Trikalinos, Nikolaos Trichakis, and Dimitris Bertsimas. "Forecasting COVID-19 and Analyzing the Effect of Government Interventions." Operations Research 71, no. 1 (January–February 2023): 184–201.
- 18 Feb 2025
- HBS Seminar
Andrey Simonov, Columbia University
- Web
Finance - Faculty & Research
legal and regulatory landscape, and the role of the financial sector. Citation Educators Related Cole, Shawn, Jonah Zahnd, Karina Chung, and Jack Cenovic. "Getting to Net Zero: The Role of the Financial Sector." Harvard Business School Background Note 225-066, March... View Details
- Web
Strategy - Faculty & Research
Koning , Maria P. Roche and Kairavi Dey Founded in 2017, Niramai developed Thermalytix, a breast cancer screening tool. Thermalytix used a high-resolution thermal sensing device and machine learning algorithms to analyze thermal images and View Details
- Web
Podcast - Business & Environment
of AI, climate, and agriculture. Using AI to Fight Wildfires: How Dryad Networks is Scaling Climate Technology 04 DEC 2024 | Climate Rising Carsten Brinkschulte is the CEO of Dryad, a company that leverages AI to detect wildfires early... View Details
- Web
South Asia - Global
learning algorithms to analyze thermal images and detect tumors. Its patented solution leveraged big data analytics, AI, and ML for reliable, early, and accurate breast cancer screening. Early clinical trials showed that the solution was... View Details
- July 2013 (Revised August 2017)
- Case
TaKaDu
By: Elie Ofek and Matthew Preble
In December 2012, Amir Peleg, founder and CEO of TaKaDu, reflected on how to position his young firm for the next fiscal year and beyond. The small Israeli startup had developed an innovative software system that used patented algorithms and statistical analysis to... View Details
Keywords: Innovation; Customer Selection; Business Marketing; High-tech Marketing; Enterprise Resource Planning; Water Resources; Water Management; Utilities; Product Positioning; Expansion; Resource Allocation; Applications and Software; Entrepreneurship; Business Startups; Business Strategy; Innovation and Invention; Growth and Development Strategy; Utilities Industry; Australia; Israel
- January 2021
- Case
Anodot: Autonomous Business Monitoring
By: Antonio Moreno and Danielle Golan
Autonomous business monitoring platform Anodot leveraged machine learning to provide real-time alerts regarding business anomalies. Anodot’s solution was used in various industries in order to primarily monitor business health, such as revenue and payments, product... View Details
Keywords: Digital Platforms; Internet and the Web; Knowledge Sharing; Information Management; Sales; Value Creation; Product Positioning; Israel
Moreno, Antonio, and Danielle Golan. "Anodot: Autonomous Business Monitoring." Harvard Business School Case 621-084, January 2021.
- November–December 2015
- Article
Active Postmarketing Drug Surveillance for Multiple Adverse Events
By: Joel Goh, Margrét V. Bjarnadóttir, Mohsen Bayati and Stefanos A. Zenios
Postmarketing drug surveillance is the process of monitoring the adverse events of pharmaceutical or medical devices after they are approved by the appropriate regulatory authorities. Historically, such surveillance was based on voluntary reports by medical... View Details
Keywords: Drug Surveillance; Health Care; Stochastic Models; Queueing; Diffusion Approximation; Brownian Motion; Health Care and Treatment; Analytics and Data Science; Analysis
Goh, Joel, Margrét V. Bjarnadóttir, Mohsen Bayati, and Stefanos A. Zenios. "Active Postmarketing Drug Surveillance for Multiple Adverse Events." Operations Research 63, no. 6 (November–December 2015): 1528–1546. (Finalist, 2012 INFORMS Health Applications Society Pierskalla Award.)
- 2021
- Working Paper
An Empirical Study of Time Allotment and Delays in E-commerce Delivery
By: M. Balakrishnan, MoonSoo Choi and Natalie Epstein
Problem definition: We study how having more time allotted to deliver an order affects the speed of the delivery process. Furthermore, we seek to predict orders that are likely to be delayed early in the delivery process so that actions can be taken to avoid delays.... View Details
Keywords: Logistics; E-commerce; Mathematical Methods; AI and Machine Learning; Performance Productivity
Balakrishnan, M., MoonSoo Choi, and Natalie Epstein. "An Empirical Study of Time Allotment and Delays in E-commerce Delivery." Working Paper, December 2021.
- Web
Entrepreneurial Management - Faculty & Research
screening tool. Thermalytix used a high-resolution thermal sensing device and machine learning algorithms to analyze thermal images and detect tumors. Its patented solution leveraged big data analytics, AI, and ML for reliable, early, and... View Details
- 01 May 2013
- What Do You Think?
Why Isn’t ‘Servant Leadership’ More Prevalent?
to give to everyone until he detects a habitual "taker" that can be eliminated from his "gift list." Servant leadership is only one approach to leading, and it isn't for everyone. But if servant leadership is as... View Details
Keywords: by Jim Heskett
- 18 Jun 2024
- Research & Ideas
Central Banks Missed Inflation Red Flags. This Pricing Model Could Help.
environments.” If central banks had used economic models that account for variations in the speed of firm’s pricing decisions rather than their traditional forecasting tools, policymakers might have detected rising inflation sooner,... View Details
- Web
Research - Global
developed Thermalytix, a breast cancer screening tool. Thermalytix used a high-resolution thermal sensing device and machine learning algorithms to analyze thermal images and detect tumors. Its patented solution leveraged big data... View Details
- 04 Jan 2017
- What Do You Think?
How Much Bureaucracy is a Good Thing in Government and Business?
to make key decisions with the agility of System 1 (using Kahneman’s terminology) while within a larger System 2-developed strategic framework.” Chiding other respondents for not shedding more light on the role that bureaucracies can perform, Eric W. Taylor, Jr.... View Details
Keywords: by James L. Heskett
- Web
2023 Reunion Presentations - Alumni
appear. In this session, we discuss the current Early Prediction – Early Detection – Early Intervention strategy, with its goal of preventing the onset of AD before symptoms arise or progress, and how we are now poised to take a giant... View Details
- 2023
- Working Paper
Black-box Training Data Identification in GANs via Detector Networks
By: Lukman Olagoke, Salil Vadhan and Seth Neel
Since their inception Generative Adversarial Networks (GANs) have been popular generative models across images, audio, video, and tabular data. In this paper we study whether given access to a trained GAN, as well as fresh samples from the underlying distribution, if... View Details
Olagoke, Lukman, Salil Vadhan, and Seth Neel. "Black-box Training Data Identification in GANs via Detector Networks." Working Paper, October 2023.
- 07 Jul 2008
- Research & Ideas
Innovation Corrupted: How Managers Can Avoid Another Enron
the fact that the company was short of cash as well as profits. Yet Enron's board failed to detect and prevent violations of accounting principles and rules. In the third week of October 2001, Arthur Andersen, Enron's highly compromised... View Details
- Web
Entrepreneurship - Faculty & Research
Kairavi Dey March 2025 | Case | Faculty Research Founded in 2017, Niramai developed Thermalytix, a breast cancer screening tool. Thermalytix used a high-resolution thermal sensing device and machine learning algorithms to analyze thermal images and View Details