Meta-analysis & systematic review
Pooled RCTs — the most robust evidence we can find in biohacking topics. Examples: creatine monohydrate for strength output, NMN for plasma NAD+ levels.
Which biohacking conferences, longevity summits and health optimization events are worth attending in 2026? This curated overview filters for substance over marketing gloss — with a focus on Europe and the top English-language events worldwide.
**Health Optimisation Summit Berlin** — typically summer 2026, Berlin. The largest biohacking event in Europe: 100+ speakers, mix of science, practitioners and entrepreneurs. Speaker quality is mixed (top scientists alongside influencer marketing), but networking is excellent. Tickets from ~€300, premium ~€700. **Biohacker Summit Helsinki** — late May / early June 2026. The mother of all European biohacking conferences, since 2015. Scandinavian scientific tradition, less marketing, more substance. English-language. ~€400-700. **Longevity Investors Conference Gstaad** — September 2026, Switzerland. High-end investor side, very small format, very expensive (€1500+). Only relevant for industry insiders. **Longevity Day Munich** — usually October/November. Focus on longevity research, investor side, Charité and Max Planck contributions. Smaller format (200-500 attendees), scientifically substantive. Entrance ~€150-400.
**RAAD-Fest (Las Vegas) / A4M World Congress** — US-based anti-aging conferences, autumn and winter. Strong in longevity research, weaker in European regulatory reality. Only worth it if you're already in the US. **Bulletproof Conference / Various US biohacking events** — typically summer/autumn US. Caution: often more marketing-driven than scientific. If at all, stream selected talks instead of traveling physically. **London Biohacking Summit** — irregular dates, often spring. Useful for the UK ecosystem, integration of NHS data perspectives, regulatory talks. Smaller scale than Berlin. **Asia-Pacific Longevity Conferences (Singapore, Sydney)** — growing scene, but for European biohackers usually only worth it as part of broader business travel.
Generally overrated: many online summits with funnel sales. You register for “free” talks and afterwards get marketed coaching programs or supplement stacks. Content often thin because speakers primarily sell their own products. Be cautious of conferences that curate their speaker list primarily by reach (Instagram followers) instead of scientific reputation. Rule of thumb: if a speaker primarily lives from their own YouTube channel rather than academic or clinical structures, you get repackaging — not new knowledge. Usually not worth it: regional wellness fairs with a “biohacking track” as marketing add-on. Entry cheap, content dated (more detox teas than study data). If your goal is evidence-based biohacking, attend the specialized conference.
Three strategies for any conference you attend: **1) Vet the speaker list in advance.** Google every top speaker: do they have PubMed publications, a clinical or academic affiliation, or primarily YouTube/Instagram reach? Build a 1:1 list of the 3-5 people you absolutely want to talk to. **2) Workshops > keynotes.** Keynotes are often repackaged book or podcast content. Workshops with small attendance enable real Q&A and direct expert discussion. **3) Network systematically.** 3-5 substantive conversations beat 50 superficial small-talk encounters. Check LinkedIn in advance, approach with purpose, follow up with concrete connection (study references, question about a talk). Budget note: 1-2 top conferences per year (€500-1000 + travel) is often more valuable than 4-5 mid-tier events.
Evidence, not hallucination
Evidence-based biohacking means every claim about sleep, supplements, longevity or performance stands or falls with the study it cites. Biohacking AI makes that study trail visible — with clickable PubMed links, transparent evidence tiers and honest labeling where research is still thin. Every biohacker should know whether they're following a meta-analysis or a mouse paper.
Pooled RCTs — the most robust evidence we can find in biohacking topics. Examples: creatine monohydrate for strength output, NMN for plasma NAD+ levels.
Gold standard for single studies. Causal claims are possible, but effect sizes vary widely. Examples: magnesium for cramps, ashwagandha for cortisol-driven stress.
Large population data, but no causality — useful hypothesis generators. Examples: vitamin D levels and mortality, sleep duration and dementia risk.
Plausibility yes, clinical proof no. We label this transparently so no one reads a mouse result as "proven." Examples: peptides like BPC-157, red-light therapy at the cell level.
Those four tiers underpin every answer on the platform — no study is cited without a tier label, and when the evidence is thin the AI says so openly.
Instead of €800 for a conference: the AI delivers verified study knowledge in seconds — and you go to the conference for what it's really good for: networking.