Oncotelic Therapeutics Inc · OTC:OTLC
Oncotelic Therapeutics — Drug Discovery-2026
13 slides from Oncotelic Therapeutics's conference presentation, Oct 13, 2026
Slide 1: The Infinity Problem: AI Search Aggregation for Biomedical Knowledge Discovery
The Infinity Problem: Al Search Aggregation for Biomedical Knowledge Discovery in Drug Development Scott Myers Product Manager, Oncotelic Therapeutics Drug Discovery-2026 October 7, 2026
Slide 2: Drug discovery and development costs
Drug discovery and development costs ~$1 1 billion Early research choices matter Estimated median R&D investment to bring a new medicine to market Mynchecidenceleuprorts or challenges the idea? 2018 US dollars Includes failed trials and capital costs Wouters et al., JAMA (2020; corrected 2022). 63 m
Slide 3: The Infinity Problem
The Infinity Problem 29 million Indexed PubMed abstracts A growing search space A finite model context PDAOAI corpus, October 2026 03
Slide 4: AI search aggregation in PDAOAI
Al search aggregation in PDAOAI ms ff vA ~ Va & > > & > i) > | gS J» Os ea | 03 04 NG BY 06 PubMed LangChain OpenAl Qdrant Query Research ingestion embeddings Cloud layer applications Semantic + keyword search Ranked evidence PubMed filters + reranking ieetaines tits onteekel 4
Slide 5: Exact terminology and related biology
Exact terminology and related biology KEYWORD PRECISION e SEMANTIC EXPANSION Exact terms Related biology Gene and drug names Mechanisms Variants and abbreviations Disease context 05
Slide 6: A focused research question
A focused research question One question to guide the evidence review Where do these papers agree, and what remains unclear? A defined task An explicit source set What do you want to learn? Which papers should inform it? 06
Slide 7: Using PDAOAI
Using PDAOAI A focused research question | Search the corpus Use selected papers 29 million indexed abstracts PubMed IDs or abstracts T Selected evidence for an answer Rank the results, inspect the sources, refine the question 07
Slide 8: Exploring beyond the nearest matches
Exploring beyond the nearest matches Shell sampling Related ideas beyond the first results Exploration stays focused on the question 08
Slide 9: Partitioned Literature Aggregation
Partitioned Literature Aggregation 1 Define the source groups 2 Ask the same question 3 Analyze each group 4 Combine the summaries Separate analyses form the combined summary Each group keeps its context 09
Slide 10: Reviewing an AI answer
Reviewing an Al answer Main point What do these sources suggest? Source papers Which papers support the answer? Different findings Where do the papers disagree? Open question What still needs investigation? Some questions require the full paper beyond its abstract 10
Slide 11: Refining the search
Refining the search Too broad Sharpen the question Missing a paper Revisit the source set Unclear claim Check the original source The review gives the next search a clearer direction "
Slide 12: The researcher chooses the next step
The researcher chooses the next step The platform Check the sources organizes the literature Refine the question Choose what to investigate The answer supports the research discussion 2
Slide 13: PDAOAI Bio Reboot
PDAOAI BIO REBOOT Build the next drug company Find overlooked therapeutic opportunities with PDAOAI, an engine built on 29 million PubMed abstracts. SELECTED PROJECTS MAY QUALIFY FOR Startup funding Oncotelic development support Computational chemistry, biological validation, formulation, regulatory