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Utah Approves AI Prescriptions Drugs. How AI Is Saving Time, Cutting Costs - and Why Molecule.ai's Drug Discovery Platform Matters More Than Ever

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(Moderate)
Rhea-AI Sentiment
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Shuttle Pharmaceuticals (NASDAQ: SHPH) on January 13, 2026 highlighted Utah's new pilot allowing AI to authorize prescription refills and explained why that regulatory milestone matters for its Molecule.ai drug‑discovery platform. The release links Utah's AI refill program to time and cost savings in healthcare and argues Molecule.ai can similarly cut drug discovery bottlenecks by reducing time to identify candidates, lowering failed‑experiment costs, and automating repetitive screening.

The company says Molecule.ai uses agentic AI with uncertainty quantification, human‑in‑the‑loop workflows, and explainable models to enable oversight and scale while aiming to accelerate R&D and improve access to therapies.

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Positive

  • Utah launched an AI prescription refill pilot on Jan 13, 2026
  • Molecule.ai claims to cut candidate identification from months to days
  • Platform embeds uncertainty quantification, human oversight, and explainability

Negative

  • Critics warn AI could miss subtle warning signs without strong oversight
  • Claims about time/cost reductions are presented as company estimates, not verified outcomes

News Market Reaction

%
5 alerts
% News Effect
+17.0% Peak in 6 hr 27 min
$2M Market Cap
0.4x Rel. Volume

On the day this news was published, SHPH declined NaN%, reflecting a moderate negative market reaction. Argus tracked a peak move of +17.0% during that session. Our momentum scanner triggered 5 alerts that day, indicating moderate trading interest and price volatility.

Data tracked by StockTitan Argus on the day of publication.

Market Reality Check

Price: $2.36 Vol: Volume 703,297 is 1.29x t...
normal vol
$2.36 Last Close
Volume Volume 703,297 is 1.29x the 20-day average of 543,634, indicating elevated trading activity. normal
Technical Shares at $1.43 are trading below the 200-day MA of $4.08 and 94.34% below the 52-week high.

Peers on Argus

SHPH fell 25.91% while peers were mixed: INM -7.87%, PRFX -4.43%, SBFM -3.05%, R...

SHPH fell 25.91% while peers were mixed: INM -7.87%, PRFX -4.43%, SBFM -3.05%, RDHL +1.60%, UPC +0.24%. The move appears stock-specific, not a broad sector rotation.

Historical Context

5 past events · Latest: Nov 21 (Positive)
Pattern 5 events
Date Event Sentiment Move Catalyst
Nov 21 AI acquisition close Positive -12.6% Closed Molecule.ai acquisition with cash, stock and milestone-based payments.
Nov 03 Private placement Neutral +4.4% Above-the-market $2.5M pre-funded warrant financing for corporate and working capital.
Oct 22 AI LOI terms Positive -7.2% Definitive LOI to buy Molecule.ai for ~$10M in cash and stock with milestones.
Oct 22 AI platform shift Positive -7.2% Plans to integrate Molecule.ai Agentic AI with oncology programs and licensing options.
Oct 21 AI & clinical update Positive -5.7% Molecule.ai LOI plus Phase 2 glioblastoma progress and orphan drug designation.
Pattern Detected

AI/acquisition news around Molecule.ai has often been followed by negative price reactions, suggesting a pattern of selloffs on strategic AI updates.

Recent Company History

Over the last few months, Shuttle Pharma has shifted toward an AI-driven model via Molecule.ai. It executed multiple LOIs in October 2025 around a roughly $10 million acquisition structure, then closed the Molecule.ai deal in November 2025 for up to $8 million plus $2 million in contingent consideration. Financing steps included a roughly $2.5 million private placement at an effective $4.00 per share. Despite strategically positive AI headlines, share reactions have frequently been negative, echoing today’s decline.

Market Pulse Summary

This announcement highlights Shuttle’s Molecule.ai platform in the context of broader AI adoption in...
Analysis

This announcement highlights Shuttle’s Molecule.ai platform in the context of broader AI adoption in healthcare, such as Utah’s AI prescription refill pilot. Recent history shows a strategic shift toward AI drug discovery via the Molecule.ai acquisition and multiple financings. Investors may focus on how effectively Molecule.ai reduces development bottlenecks, the company’s ability to manage costs, and any future disclosures about integration progress and commercial applications of the platform.

Key Terms

artificial intelligence, Agentic AI, drug-target interactions, uncertainty quantification, +2 more
6 terms
artificial intelligence technical
"allow artificial intelligence systems to authorize prescription refills without direct physician"
Artificial intelligence is the ability of computers and machines to perform tasks that typically require human thinking, such as understanding language, recognizing patterns, or making decisions. For investors, it matters because AI can enhance efficiency, uncover new insights, and enable smarter strategies, potentially impacting the value and performance of companies that develop or utilize this technology.
Agentic AI technical
"The Molecule.ai platform leverages advanced Agentic AI to predict molecular properties"
Agentic AI refers to computer systems that can make their own decisions and take actions without needing someone to tell them what to do each time. It's like giving a robot a degree of independence to solve problems or achieve goals on its own, which matters because it could change how we work and interact with technology in everyday life.
drug-target interactions technical
"predict molecular properties, model drug-target interactions and prioritize compounds"
Drug-target interactions are the ways a medicine physically or chemically binds to a specific part of the body—usually a protein such as a receptor or enzyme—to produce its intended effect or cause side effects. Like a key fitting a lock, strong, specific interactions increase the chance a drug will work and be safe, while weak or off-target interactions raise the risk of failure, regulatory problems, or costly additional testing, making them central to a drug’s commercial prospects.
uncertainty quantification technical
"Molecule.ai addresses these concerns by embedding:Uncertainty quantification, so low-confidence"
Uncertainty quantification is the process of measuring and describing how much doubt exists around a forecast, model output, or estimate — for example, how confident we are in a projected revenue number or risk metric. It matters to investors because it turns a single best guess into a range of possible outcomes and chances, like giving both a likely score and a margin of error, which helps compare options, size risks, and make decisions with clearer expectations.
human-in-the-loop technical
"Human-in-the-loop workflows, ensuring expert oversight at critical decision points"
Human-in-the-loop describes systems where people supervise, check, or make final decisions on work performed by automated tools or algorithms. Like a pilot overseeing an autopilot, humans step in to catch errors, interpret nuance, and apply judgment that machines may miss. For investors, this matters because human oversight can reduce operational and regulatory risk, improve decision quality, and increase trust in results produced by automated systems.
Explainable models technical
"Explainable models, enabling teams to understand why a molecule is prioritized"
Explainable models are decision-making systems, often powered by algorithms, whose steps and reasons for a given outcome can be inspected and understood by humans. They matter to investors because clear explanations reduce unseen risks, help meet regulatory and compliance requirements, and build trust—similar to preferring a clear recipe over a sealed box when judging whether a dish is safe and reliable before putting money behind it.

AI-generated analysis. Not financial advice.

Gaithersburg, Maryland--(Newsfile Corp. - January 13, 2026) - Shuttle Pharmaceuticals Holdings, Inc. (NASDAQ: SHPH) ("Shuttle Pharma" or the "Company"), applauds the state of Utah which has become the first state in the United States to allow artificial intelligence systems to authorize prescription refills without direct physician involvement — a regulatory first that signals how AI is beginning to reduce healthcare costs, eliminate delays, and expand access to care.

The pilot program, launched through Utah's Office of Artificial Intelligence Policy and powered by Doctronic, allows AI to refill certain commonly prescribed medications for chronic conditions. Proponents argue that the model saves patients time and money, particularly in rural areas where physician shortages can turn routine refills into weeks-long delays and costly clinic visits.

While limited to refills and governed by strict oversight, the initiative reflects a broader shift across healthcare: AI is being trusted to automate repetitive, high-volume decisions — freeing human experts to focus on complex, high-value work.

That same principle is at the core of what we believe Shuttle Pharma's Molecule.ai platform is building in drug discovery.

Automating the Bottlenecks That Cost Time and Money

In clinical care, prescription refills are time-consuming, expensive, and often redundant. In drug development, similar bottlenecks occur much earlier in the development process — during molecular screening, during candidate prioritization, and during failed late-stage experiments that are costly.

Molecule.ai applies AI to minimize these inefficiencies by dramatically reducing:

  • Time to identify viable drug candidates;
  • Cost of failed experiments and late-stage attrition; and
  • Human labor spent on repetitive screening and analysis.

The Molecule.ai platform leverages advanced Agentic AI to predict molecular properties, model drug-target interactions and prioritize compounds before they ever reach the lab. We believe that what once required months of manual experimentation could now be narrowed to days — at a fraction of the cost.

Just as Utah's AI refill system automates routine prescribing decisions, Molecule.ai automates the most resource-intensive steps of drug discovery, allowing scientists to focus on breakthrough innovation rather than trial-and-error.

Built for Scale, Safety, and Oversight

Critics of Utah's pilot program warn that AI could miss subtle warning signs or be misused. These concerns highlight a central truth: AI must be designed not only for speed, but for accountability.

Molecule.ai addresses these concerns by embedding:

  • Uncertainty quantification, so low-confidence predictions are flagged
  • Human-in-the-loop workflows, ensuring expert oversight at critical decision points
  • Explainable models, enabling teams to understand why a molecule is prioritized

This mirrors Utah's regulatory sandbox approach, where AI is allowed to operate within clear boundaries, escalate edge cases to humans, and demonstrate safety before wider adoption.

The Economic Case for AI in Healthcare and Drug Discovery

The healthcare and biopharmaceutical industries face the same economic reality: rising costs, limited human resources, and growing demand. We believe AI can offer a path to sustainability.

  • For patients, we believe AI can reduce unnecessary visits, wait times, and out-of-pocket costs.
  • For healthcare systems, we believe AI lowers operational burden and improves access.
  • For drug developers, we believe AI can cut R&D timelines, reduce capital burn, and increase the probability of clinical success.

Molecule.ai is designed to deliver these savings at scale — transforming AI from a research tool into core infrastructure for modern drug development.

A Glimpse of the Future

Utah officials have said results from the AI prescription pilot will help shape future state and federal AI policy, potentially serving as a national model for high-stakes AI regulation in healthcare.

As regulators grow more comfortable granting AI limited authority where it demonstrably saves time and money without sacrificing safety, the industry will increasingly demand AI platforms that are robust, auditable, and economically transformative.

That is the future Shuttle Pharma is building toward with the Molecule.ai platform:

AI that accelerates discovery, lowers costs, and brings better therapies to patients faster — safely and responsibly.

About Shuttle Pharma

Shuttle Pharmaceuticals Holdings, Inc. (NASDAQ: SHPH) owns a pharmaceutical software artificial intelligence ("AI") driven platform for molecular discovery and early-stage drug development. By combining modern AI techniques with structured scientific workflows, the Molecule.ai platform helps researchers explore the chemical space more efficiently, evaluate molecular ideas with greater clarity and make more informed decisions during the earliest stages of drug development.

Cautionary Note Regarding Forward-Looking Statements

Statements in this press release about future expectations, plans and prospects, as well as any other statements regarding matters that are not historical facts, may constitute "forward-looking statements." These statements include, but are not limited to, statements concerning the development of our company and the Molecule.ai platform. The words "anticipate," "believe," "continue," "could," "estimate," "expect," "intend," "may," "plan," "potential," "predict," "project," "should," "target," "will," "would" and similar expressions are intended to identify forward-looking statements, although not all forward-looking statements contain these identifying words. Actual results may differ materially from those indicated by such forward-looking statements as a result of various important factors, including factors discussed in the "Risk Factors" section of Shuttle Pharma's Annual Report on Form 10-K for the year ended December 31, 2024, filed with the SEC on February 26, 2025, as well as other SEC filings. Any forward-looking statements contained in this press release speak only as of the date hereof and, except as required by federal securities laws, Shuttle Pharma disclaims any obligation to update any forward-looking statement, whether as a result of new information, future events or otherwise.

Shuttle Pharmaceuticals
Chris Cooper
Chief Executive Officer
info@shuttlepharma.com

To view the source version of this press release, please visit https://www.newsfilecorp.com/release/280266

FAQ

What did Utah approve on January 13, 2026 and why does it matter for SHPH?

Utah approved a pilot allowing AI to authorize certain prescription refills; Shuttle links this regulatory milestone to broader opportunities for its Molecule.ai platform to automate routine tasks in drug discovery.

How does Shuttle Pharmaceuticals' Molecule.ai platform aim to speed drug discovery (SHPH)?

Molecule.ai uses agentic AI to predict molecular properties, prioritize compounds, and reduce manual screening time from months to days according to the company.

What safety features does Molecule.ai include as described by SHPH?

The platform includes uncertainty quantification, human‑in‑the‑loop workflows, and explainable models to flag low‑confidence cases and enable expert review.

Will Utah's AI refill pilot directly change Shuttle Pharmaceuticals' regulatory status (SHPH)?

No direct regulatory change for Shuttle is stated; the company positions Utah's pilot as a model that could influence future AI policy affecting the industry.

Does the press release provide verified metrics on cost or clinical trial improvements for SHPH?

No specific verified financial or clinical metrics are provided; time/cost savings are described as company expectations.

How might Molecule.ai affect R&D costs and timelines for drug developers (SHPH)?

Shuttle asserts Molecule.ai can lower R&D timelines and reduce failed‑experiment costs by prioritizing compounds earlier, potentially lowering capital burn.
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