Minutes of networking breaks
Two 50-minute breaks make room for the conversations that short coffee queues cannot.
From promising predictions to better drug decisions.
Biological evidence. Better molecules. More credible translation.
Conceptual scientific artwork · Not a representation of an actual experiment
AI for Drug Discovery Summit Asia connects pharmaceutical and biotechnology teams with researchers, computational innovators and translational experts. The programme examines where AI can change a drug discovery decision, from target selection and molecular design to experimental validation and development handover. Rather than treating a model output as a breakthrough, sessions ask what evidence is needed, what failure looks like and how multidisciplinary teams can make the next decision with greater confidence.
Leave with a practical framework for evaluating AI drug discovery partners, validating workflows and building more credible translation plans.
Two 50-minute breaks make room for the conversations that short coffee queues cannot.
One workflow, clear evidence and a strict handover. Follow up with the people who matter.
Discussion around practical trade-offs, with curated questions and multiple perspectives.
Follow the decisions that connect a computational hypothesis to an experimentally supported discovery programme.
Separate a plausible target hypothesis from evidence of causal and patient-relevant biology.
Assess molecular novelty alongside synthesizability, selectivity and medicinal chemistry judgement.
Connect modalities without hiding data quality, representativeness or leakage risks.
Make uncertainty visible when prioritising candidates and evaluating failure modes.
Use prospective assays and negative results to improve the next discovery decision.
Build the evidence package needed for a responsible development handover.
Create clear rules for data access, ownership and collaboration.
Evaluate capability gaps, partner claims and the practical economics of adoption.
Programme proposal. All times are Singapore time, UTC+8. Session topics and sequencing may change before launch.
Reconnect with Day 1 delegates and meet the drug discovery community.
What evidence makes AI useful in a drug discovery programme?
How to connect computational hypotheses with testable biology and appropriate experimental controls.
Target selection, causal biology, patient relevance and the evidence needed to commit resources.
50 minutes for scientific discussions, introductions and refreshments.
Four companies, ten minutes each: targets, molecules, assays and decision support. No standalone Q&A.
Novelty, synthesizability, selectivity, ADMET and the judgement that still matters.
Questions to ask about data leakage, baselines, prospective tests, uncertainty and reproducibility.
A 60-minute lunch break, included in the delegate pass.
Assay quality, negative results, automation and the design of closed-loop discovery programmes.
Three companies, ten minutes each. Show experimental feedback and the next development decision. No standalone Q&A.
50 minutes for partnership conversations and technical follow-up.
Translational evidence, reproducibility, data governance and expectations at development handover. Not a regulatory approval clinic.
Choose a discussion on data access, platform evaluation, pharma–biotech partnering or translational strategy.
Opt-in meetings for research and commercial collaboration. No guaranteed investor, regulator or pharma appointment.
A practical checklist for the next experiment, partnership and investment decision.
Company demos are 10 minutes each with no standalone Q&A. Academic Research Spotlights have a separate editorial format. Panel questions are curated by the moderator.
We welcome research leaders, scientific founders, pharma and biotech practitioners, laboratory teams and implementation leaders. Propose a research spotlight, panel contribution or ten-minute Innovation Demo. Submissions will be assessed for evidence, relevance and practical value. A commercial relationship does not guarantee an editorial speaking slot.
Prepare a speaker proposalAn academic or non-company scientific contributor explains one important advance, its evidence and limitations. All company-affiliated solo presentations are limited to ten-minute Innovation Demos.
Show one use case, one workflow and measurable evidence. Strict handover to the next presenter, with no standalone Q&A. Continue the conversation during networking.
A moderated conversation built around a real decision, conflicting evidence and practical trade-offs. Audience questions are curated within the panel.
Small-group discussion around a defined challenge, producing a short list of next actions rather than another slide presentation.
Designed for the teams who must connect biology, chemistry, data, experiments and partnerships. No single discipline can do this alone.
Discovery heads, computational chemistry and biology leaders, medicinal chemists, translational teams and business development directors
Principal investigators, chemical biologists, bioinformaticians, experimental scientists and clinician-scientists
AI-native biotech, molecular design, biological modelling, data platform and scientific software teams
CROs, laboratory automation, assay providers, compute, cloud and research data specialists
Regulatory science, research funding, innovation agencies, life-sciences investors and technology-transfer professionals
Two complementary conferences. Choose the day most relevant to your work, or connect scientific discovery with drug discovery across both days.
Attend AI for Drug Discovery Summit Asia on day 2.
Attend AI for Science Asia and AIDD Asia. USD 190 less than two separate one-day passes.
Proposed delegate pricing. Registration is not yet open. Any applicable taxes and booking terms will be stated before payment. Travel and accommodation are excluded. Private sessions do not guarantee a meeting with any named person.
Sponsorship is available alongside paid delegate passes. Show a relevant capability, support useful discussion and build relationships with consent.
A tailored presence across the two-day programme, with clearly disclosed branding, a demonstration opportunity subject to programme review, and opt-in networking participation. Any demonstration position is subject to editorial approval and shared programme capacity.
Focused visibility with the scientific discovery or drug discovery audience, a demonstration position and a compact meeting area, subject to venue confirmation. Any demonstration position is subject to editorial approval and shared programme capacity.
A ten-minute demonstration and a space for follow-up conversations. Show practical evidence rather than a long product presentation. Any demonstration position is subject to editorial approval and shared programme capacity.
Packages, availability and pricing are by proposal. No sponsor, partner or institutional endorsement is confirmed. Delegate details are not sold or shared without appropriate consent. Demonstration slots are limited to seven per day across all sponsorship tiers, subject to programme review and availability.
A non-commercial collaboration route for research institutions, professional communities and relevant associations. Every partnership requires separate agreement.
Discuss a partnershipRegistration is not yet open. Email Escom Events’ organiser contact to express interest, propose a contribution or discuss sponsorship. Please name AI for Drug Discovery Summit Asia Singapore 2027 in your enquiry.
This preview does not collect personal information or process payments. The organiser will confirm the official registration route and terms before booking opens.
These links open an email draft to mike.li@escom-events.com. Nothing is sent until you review and send it.
Clear facts, visible status and no assumptions about confirmations. Last reviewed 30 October 2026.
2 June 2027 · proposed in Singapore. Singapore venue to be confirmed. The programme, exact dates and venue remain proposed until the organiser publishes confirmation. Please do not book non-refundable travel on this basis.
The proposed price is USD 390 for one conference day or USD 590 for both AI for Science Asia and AIDD Asia. Registration is not yet open. Applicable taxes, payment terms and cancellation conditions will be stated before booking.
Admission on booked days, lunch, participating speakers’ available conference materials, morning and afternoon networking, and access to private networking sessions subject to scheduling and mutual consent. Travel and accommodation are not included.
Yes. Select the one-day pass for AI for Drug Discovery Summit Asia, or choose the two-day pass to attend both conferences. A one-day pass does not include the other conference day.
Prepare your name, role, organisation, proposed session format, talk title, 150-word abstract, relevant evidence and commercial disclosures. Contact Escom Events and state the conference name. Applications are assessed on relevance and evidence; a submission does not guarantee acceptance.
No speaker or institutional partnership is confirmed in this proposal. Names in the separate organiser research pack are invitation targets, not announced speakers. The conferences are independently organised by Escom Events under World AI Ready.
No. Company Innovation Demos are ten minutes each, with a strict handover and no standalone Q&A. Technical and commercial follow-up belongs in the networking breaks. Moderated panels can include curated audience questions.
This source preview includes a local conference guide that retrieves approved information. It does not use a live language model. An optional server-side AI adapter is included for an authorised operator to configure before launch. Do not enter sensitive personal or research information.
No. This is an independent Escom Events conference proposal. It is not the A*STAR AI in Drug Discovery (AIDD) programme and does not imply government, university or other institutional endorsement.
Also interested in the wider scientific AI landscape? Join AI for Science Asia on Day 1 to explore research models, data, laboratory automation and cross-disciplinary discovery.
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