Evidence mapPaperPMID 41542364Full record

ArticleBioinformatics advances2026

Prompt-to-Pill: Multi-Agent Drug Discovery and Clinical Simulation Pipeline.

Ivana Vichentijevikj, Kostadin Mishev, Monika Simjanoska Misheva

Abstract read
In one paragraph

Article in Bioinformatics advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Ivana VichentijevikjiReason LLC, Skopje 1000, North Macedonia.ORCID https://orcid.org/0009-0008-7050-6644
Kostadin MishevFaculty of Computer Science and Engineering, Ss. Cyril and Methodius University, Skopje 1000, North Macedonia.
Monika Simjanoska MishevaFaculty of Computer Science and Engineering, Ss. Cyril and Methodius University, Skopje 1000, North Macedonia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Summary: This study presents a proof-of-concept, comprehensive, modular framework for AI-driven drug discovery (DD) and clinical trial simulation, spanning from target identification to virtual patient recruitment. Synthesized from a systematic analysis of 51 large language model (LLM)-based systems, the proposed Availability and implementation: The implementation and code are available at: https://github.com/ChatMED/Prompt-to-Pill.

Identifiers

PMID41542364
PMCPMC12800774

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.