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Healthcare

Healthcare

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Application & Gen AI Integration (Business Leaders) Track
Data Privacy
Ethical AI
C-Suite
Healthcare
Finance
Manufacturing
Moderator

Author:

Hira Dangol

Vice President, AI/ML & Automation
Bank Of America

Industry experience in AI/ML, engineering, architecture and executive roles in leading technology companies, service providers and Silicon Valley leading organizations. Currently focusing on innovation, disruption, and cutting-edge technologies through startups and technology-driven corporation in solving the pressing problems of industry and world.

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Hira Dangol

Vice President, AI/ML & Automation
Bank Of America

Industry experience in AI/ML, engineering, architecture and executive roles in leading technology companies, service providers and Silicon Valley leading organizations. Currently focusing on innovation, disruption, and cutting-edge technologies through startups and technology-driven corporation in solving the pressing problems of industry and world.

Author:

Zafer Sahinoglo, Ph.D.

VP of Business Innovation
Mitsubishi Electric Innovation Center

Dr. Zafer Sahinoglu received his M.B.A. degree from Massachusetts Institute of Technology in 2013, and Ph.D. degree in Electrical Engineering and M.Sc. degree in Biomedical Engineering from New Jersey Institute of Technology, Newark, NJ, in years 2002 and 1998, respectively.

He was a senior principal research scientist in MERL between 2001 and 2016. His technical expertise includes stochastic signal processing, space-time adaptive processing, ultra-wideband and OFDMA wireless communications, and indoor localization and tracking, biomedical signal processing, Li-ion battery modeling.

He worked in Japan for 6 months in 2014 to promote new software and service based business models in various business divisions. He formed a Vision 2020 Business Innovation group in Mitsubishi Electric US in 2016, where his team developed several SaaS platforms. He has been leading and managing product design and agile product development, building business models, developing technology strategies, and bundling these steps into customized processes with continuous innovation.

He is an inventor on more than 80 patents, has co-authored more than 100 international journal and conference papers, made more than 50 contributions to international standards including ZigBee, IEEE 802.15.4a UWB PHY and MAC, IEEE 802.15.4e MAC, and MPEG 21. He has written two books on wireless communication and localization systems published by Cambridge University Press. He also earned Docent Dr. (Associate Prof.) title in Turkey in 2012 in Electrical Engineering.

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Zafer Sahinoglo, Ph.D.

VP of Business Innovation
Mitsubishi Electric Innovation Center

Dr. Zafer Sahinoglu received his M.B.A. degree from Massachusetts Institute of Technology in 2013, and Ph.D. degree in Electrical Engineering and M.Sc. degree in Biomedical Engineering from New Jersey Institute of Technology, Newark, NJ, in years 2002 and 1998, respectively.

He was a senior principal research scientist in MERL between 2001 and 2016. His technical expertise includes stochastic signal processing, space-time adaptive processing, ultra-wideband and OFDMA wireless communications, and indoor localization and tracking, biomedical signal processing, Li-ion battery modeling.

He worked in Japan for 6 months in 2014 to promote new software and service based business models in various business divisions. He formed a Vision 2020 Business Innovation group in Mitsubishi Electric US in 2016, where his team developed several SaaS platforms. He has been leading and managing product design and agile product development, building business models, developing technology strategies, and bundling these steps into customized processes with continuous innovation.

He is an inventor on more than 80 patents, has co-authored more than 100 international journal and conference papers, made more than 50 contributions to international standards including ZigBee, IEEE 802.15.4a UWB PHY and MAC, IEEE 802.15.4e MAC, and MPEG 21. He has written two books on wireless communication and localization systems published by Cambridge University Press. He also earned Docent Dr. (Associate Prof.) title in Turkey in 2012 in Electrical Engineering.

Author:

Andy Lofgreen

AVP, Data Science Practice
DataRobot
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Andy Lofgreen

AVP, Data Science Practice
DataRobot

This presentation explores the integration of generative AI in healthcare and pharmacology, highlighting advancements in prompt engineering and its impact on decision-making. The session will examine the complexities and variability of AI responses and the difficulties in establishing a reliable ground truth, emphasizing the need for structured and reproducible outputs to support clinical and business processes efficiently.

Application & Gen AI Integration (Business Leaders) Track
Healthcare
Pharma
Data Science
AI Technologists

Author:

Zoran Krunic

Principal Product Manager
Amgen

Since joining Amgen R&D in 2018, Zoran Krunic has been at the forefront of applying Machine Learning to enhance patient outcomes and streamline clinical trial enrollment processes, utilizing comprehensive Electronic Health Records and clinical datasets. His pioneering work in the Quantum Machine Learning space, in collaboration with IBM's Quantum team, has been instrumental in integrating machine learning with quantum computing through IBM’s Qiskit platform.

Prior to his tenure at Amgen, Zoran developed Machine Learning algorithms at Optum to predict hardware and software failures within complex enterprise architectures. He has a strong background in data engineering and systems development, having contributed significantly to large-scale projects at renowned organizations such as Capital Group and ARCO Petroleum.

In his current full and part-time endeavors, Zoran is leading the efforts in embracing generative AI technologies, with a particular focus on OpenAI's GPT and Anthropic's Claude-2 models. His work is focused on prompt engineering and its application to code generation, advanced document analysis, and process management, with a commitment to ethical AI practices and data privacy.

A recognized voice in quantum computing circles, Zoran is a regular presenter at industry conferences and has served on numerous panels discussing the integration of quantum computing and generative AI within the Health Sciences sector.

With a Master of Science in Electrical Engineering & Computer Science, Zoran continues to explore and contribute to the evolving relationship between quantum computing and artificial intelligence, fostering groundbreaking advancements in healthcare technology.

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Zoran Krunic

Principal Product Manager
Amgen

Since joining Amgen R&D in 2018, Zoran Krunic has been at the forefront of applying Machine Learning to enhance patient outcomes and streamline clinical trial enrollment processes, utilizing comprehensive Electronic Health Records and clinical datasets. His pioneering work in the Quantum Machine Learning space, in collaboration with IBM's Quantum team, has been instrumental in integrating machine learning with quantum computing through IBM’s Qiskit platform.

Prior to his tenure at Amgen, Zoran developed Machine Learning algorithms at Optum to predict hardware and software failures within complex enterprise architectures. He has a strong background in data engineering and systems development, having contributed significantly to large-scale projects at renowned organizations such as Capital Group and ARCO Petroleum.

In his current full and part-time endeavors, Zoran is leading the efforts in embracing generative AI technologies, with a particular focus on OpenAI's GPT and Anthropic's Claude-2 models. His work is focused on prompt engineering and its application to code generation, advanced document analysis, and process management, with a commitment to ethical AI practices and data privacy.

A recognized voice in quantum computing circles, Zoran is a regular presenter at industry conferences and has served on numerous panels discussing the integration of quantum computing and generative AI within the Health Sciences sector.

With a Master of Science in Electrical Engineering & Computer Science, Zoran continues to explore and contribute to the evolving relationship between quantum computing and artificial intelligence, fostering groundbreaking advancements in healthcare technology.