SmarTreatMate

SmarTreatMate

smarter decisions, better treatments, and faster healing

A Short Introduction

Who we are?

Established by a team of AI and healthcare experts, it is a healthcare tech company. We employ AI and machine learning to improve treatments for a variety of diseases. We collaborate with top medical centers, research institutions, healthcare informatics companies, and EMR/EHR providers, focusing on patient-centric solutions. Our goal is to revolutionize disease management and redefine possibilities in healthcare technology.

What do we do?

We develop AI and ML-driven tools that assist physicians in making more accurate decisions for cancer treatment. Our technology analyzes vast amounts of patient data to identify patterns and insights that may not be apparent to the human eye, enabling healthcare providers to make better-informed treatment decisions. We also help identify potential side effects and drug interactions to enhance patient safety and reduce the risk of adverse events.

Why SmarTreatMate?

Opt for SmarTreatMate, a trailblazer in augmenting patient outcomes and reducing healthcare expenses through pioneering AI/ML solutions. With our patient-centric design, our technology caters to the needs of patients battling various diseases. By partnering with esteemed institutions and industry experts, we are continually redefining the role of AI and ML in healthcare, empowering providers and enhancing the patient journey.

NSF National I-CORPS

We’re delighted to share that SmarTreatMate has been selected to participate in the esteemed NSF National I-CORPS Summer 2023 Cohort #3. This follows our success in the regional program and an intensive review by NSF experts. SmarTreatMate uses AI to enhance patient survival analysis across various diseases. As part of the I-CORPS program, we anticipate valuable insights and growth for our innovation. This marks a significant stride in our journey to make a real difference in healthcare.

Thank you for your unwavering support as we forge ahead!

Our Team

Technical Lead
Dr. Sajal Das

Distinguished professor and past NSF program director guiding our project with expertise in data science, AI, and smart health.

Entrepreneurial Lead
Navid Seidi

A Ph.D. student with vast experience in EHR/EMR software and health informatics, specializing in machine learning and computer science.

co-Entrepreneurial Lead
Yasaman Soofi

A Ph.D. candidate in Systems Engineering, contributing skills in system-level analysis, architecture design, and data analytics.

Mentor
Ferdinand Belga

CEO of an AI-guided patient management company, providing valuable business insights from development to marketing and sales.

AI & ML Expert
Dr. Ardhendu Tripathy

Noted Assistant Professor with a passion for designing efficient algorithms and achieving optimal data representations, leveraging his expertise to propel machine learning forward.

Healthcare Exprt
Dr. Saeid Kian, MD

Medical doctor and researcher focusing on neuroscience, neuroplasticity, and VNS, contributing clinical expertise to optimize patient outcomes and drive innovative personalized treatments.

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