Introduction to METLiT
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Introduction to METLiT

Tags
AIMRIMRSHealthcareDiagnosis
Team size
5
Capital raised

$775K

Revenues 2023

0

Founding year
2021
Contact Name

Suhyeok Song (Simon), CEO

Contact email

TL;DR (Too Long; Didn't Read)

METLiT develops AI software that makes Magnetic Resonance Spectroscopy (MRS) data analysis faster, more accurate, and more accessible for researchers and clinicians.

💡The Idea

  • Magnetic Resonance Spectroscopy (MRS) is an advanced MRI technique that provides a non-invasive, real-time biochemical snapshot of cellular activity. It's used for diagnosing and monitoring various conditions, including brain tumors, dementia, stroke, and pediatric hypoxia
  • Currently, MRS data analysis requires the attention and time of multiple MR physicists, limiting its widespread use in clinical settings. This is exacerbated by a global shortage of MRS experts , restricting access to this valuable diagnostic tool.
  • METLiT developed AI-powered software for automating MRS data analysis, providing faster and more accurate results.

🥇Benefits

  • Reduces analysis time from tens of minutes to 30 seconds
  • Increases the number of detectable metabolites (17 vs. 5 in conventional methods)
  • Improves accuracy compared to expert human analysis
  • Enables wider adoption of MRS in clinical settings
  • Provides consistent results even with lower quality data or shorter scan times

💵Business Model

  • MRS Analytics (SaaS):
    • Cloud-based software for hospitals and research institutions
    • Subscription model: $1,750 - $3,000 per month
  • MRS Research:
    • Consulting and data analysis services for pharma/biotech companies and academic researchers
    • Fee per data: $100 - $300 (compared to $550 - $1,450 for conventional methods)
  • MRS Diagnostics (In development):
    • Focus on early diagnosis of dementia, particularly Normal Pressure Hydrocephalus (NPH)
    • Potential for reimbursement: $52 - $1,000 per analysis

🌎Market data

  • Globally, over 55 million people were living with dementia in 2020, expected to reach 78 million by 2030 and 139 million by 2050. (Alzint)
  • Potential market size based on business model
    • Korea: 105,000 new dementia patients annually ($32M potential market)
    • Global (North America, Europe, Japan, Australia): 1,420,000 new dementia patients annually ($1B potential market)
  • Broader applications in brain tumor diagnosis, dementia differential diagnosis, and other neurological conditions can increase TAM

🚀Status

  • In MVP stage for MRS Analytics cloud version
  • Ongoing research collaborations
    • Singapore: National University Hospital (negotiating terms)
    • Italy: ReGal cohort study
    • Malaysia: MCI-AD study
  • Preliminary clinical trials for NPH and Parkinson's disease with Seoul National University Bundang Hospital
  • Patents in process in Korea, Japan, USA, and EU
  • Key advisors onboarded, including Prof. Hyeonjin Kim (Seoul National University Hospital) and Prof. Jeong Hoon Lim (National University Hospital Singapore)

📋Regulation

  • In process for classification as Software as Medical Device

📣Promotional materials