iLoF
Description: Building AI for Medication Matching
Investors: Microsoft
Reference Link to Deck: https://www.businessinsider.com/ilof-drug-development-platform-raises-5-million-in-fresh-funds-2022-7?r=US&IR=T
Stage: Seed
Slide 1
Text:
“18 years”
“+ 400 failed trials”
“1 treatment”
Design framing:
Monochrome aesthetic with a striking tree-silhouette head image that morphs into birds flying away — symbolism for memory loss and Alzheimer’s. Sparse text delivers a stark contrast, emphasizing the long struggle and poor outcomes in drug development.
Slide 2
Text:
Title: “Heterogenous diseases are hard to crack”
Icons + labels:
“Poor biological knowledge”
“Failure of one-drug-fits-all”
“Stratification”
Design framing:
Clean, infographic style with three simple icons to highlight bottlenecks in disease understanding. Minimalist use of color (blue and gray) keeps it clinical and professional.
Slide 3
Text:
Title: “Personalized clinical trials have massive challenges”
Icons + labels:
“Invasive”
“Difficult to access”
“Significantly more expensive”
Large callout: “90% of patients leave clinical trials”
Design framing:
Visually impactful with medical imagery (e.g., MRI scanner, patient figure). The bold statistic across the bottom in a deep blue banner makes the dropout problem unavoidable.
Slide 4
Text:
Quote: “How many promising drugs will be abandoned or their evaluation seriously delayed?”
Attribution: President, Global Alzheimer’s Platform Foundation
Headline: “Pfizer had clues its blockbuster drug could prevent Alzheimer’s. Why didn’t it tell the world?”
Design framing:
Quotation slide styled like a news clipping. A full-width pull quote reinforces credibility, paired with a real-world media example to heighten urgency.
Slide 5
Text:
Title: “iLoF Platform: Building a cloud-based library of personalised biomarkers and biological profiles”
Workflow icons:
1. Optical Sample Analysis
2. Optical Fingerprint Generation
3. Fingerprint Matching
Applications: Patient screening, diagnosis, monitoring, personalised treatment
Advantages: Minimally-invasive, Scalable, Fast (3 minutes), Low cost
Design framing:
Flow-diagram layout with icons + cloud graphics. Clear process pipeline showing how data is captured, processed, and applied. Blue icons on white background feel modern, tech-driven.
Slide 6
Text:
Title: “Overcoming limitations of traditional ‘omics to create patient molecular phenotypes”
Left column: Expensive equipment, Extensive sample preparation, etc.
Right column: Low-cost equipment, Minimal prep, High throughput, Rapid screening, No user training.
Design framing:
Comparison chart. Side-by-side columns contrast traditional vs iLoF’s approach. Fine lines and muted icons give a “scientific whitepaper” tone.
Slide 7
Text:
Title: “Integrating large volumes of optical and clinical data to create rapid phenotyping and prediction tools”
Visual pipeline: blood fingerprint → cloud fingerprint library → AI/ML → visualization interface.
Applications: Discovery biology, Preclinical development, Clinical studies, Healthcare management.
Design framing:
Full process infographic. Bright cloud and circuit imagery highlight the combination of biology + AI. Anchored by Azure logo to signal enterprise-grade infrastructure.
Slide 8
Text:
Title: “Our roadmap”
Stages:
iLoF₁: Patient recruitment for clinical trials
iLoF₂: Drug-efficacy tracking
iLoF₃: Personalized risk score
iLoFₓ: Companion diagnostic
Design framing:
Upward trajectory graph with milestones mapped along a slope. Strong forward-looking, startup-roadmap visual language.
Slide 9
Text:
Title: “Case Study 1: Commercial collaboration with a biotech company developing an Alzheimer’s therapeutic”
Client: Biotech developing a drug for Alzheimer’s
Target: Peptide Y expressed in the brain
Goal: Show iLoF’s ability to detect/quantify peptide of interest in blood samples
Future: Screening for clinical trials, Companion diagnostic
Design framing:
Case study template with iconography (flask, molecule). Reads like a compact business use-case, crisp and professional.
Slide 10
Text:
Title: “Case Study 2: Prognosis in infectious diseases with a healthcare provider”
Client: Large public hospital
Problem: Managing COVID-19 influx + optimizing resources
Goal: Stratify patients by ICU admission likelihood
Future: ICU occupancy management, Personalized treatment
Design framing:
Hospital icon. Layout mirrors previous case study slide, building consistency. Blue headings maintain medical/clinical authority.
Slide 11
Text:
Title: “Future vision”
Tagline: “Using AI to accelerate personalized treatments for complex diseases”
Conditions shown: Multiple sclerosis, Parkinson’s, COVID-19, Brain tumors
Design framing:
Bold closing slide with fingerprint logo repeated to reinforce brand. Disease illustrations provide breadth and market relevance.