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Max Gelman

endpoints.newsUSA
Interested in
Biopharma BusinessOncologyClinical TrialsAntibody-Drug Conjugates
About

Max Gelman ties clinical data to commercial consequence, focusing on how late-stage trial results and regulatory decisions reshape the business prospects of new medicines. He reports on the biopharma industry for Endpoints News, with a core focus on drug pipelines, oncology and other specialty areas where science, strategy and market pressure meet.

Oncology pipelines and pivotal trial readouts

Gelman’s coverage concentrates on late-stage drug development, especially oncology programs that are approaching or entering pivotal trials. He frequently builds stories around fresh efficacy and safety data, explaining trial design, primary endpoints and patient populations in clear terms before turning to what those outcomes mean for a company’s portfolio.

Rather than treating a data drop as an isolated milestone, he shows how a Phase 2 or Phase 3 result can shift internal priorities, threaten incumbents or open a new commercial niche. Setbacks receive the same level of attention as wins, with detail on adverse events, pauses or discontinuations and how those problems can ripple through a pipeline or strategy.

Across these pieces he keeps a steady focus on the medium-term stakes: competitive positioning, timelines to filing, and how much room is left in a given indication before the field is saturated.

Antibody-drug conjugates and other next-gen modalities

Within oncology, Gelman spends particular time on antibody-drug conjugates and other next-generation modalities that are drawing heavy investment. His reporting on Merck’s antibody-drug conjugate sac-TMT and its first global Phase 3 win, delivered ahead of internal expectations, is a template for his approach: he walks through the clinical result, locates it within an increasingly crowded modality class, and looks at what it means for the company’s broader ambitions in that space. He often treats individual assets as proof points for larger trends, such as how far companies are willing to push dosing, combinations or new tumor types to secure an edge.

When he covers emerging technologies beyond ADCs, he uses similar framing, showing how technical choices in trial design and target selection feed directly into business risk, differentiation and potential pricing power.

Big pharma strategy, partnerships and pipeline risk

Although his stories are rooted in clinical programs, Gelman consistently connects those programs to big pharma strategy and business outcomes. He tracks how large companies re-balance their portfolios in response to successes and failures, whether that means doubling down on a mechanism, walking away from a class or reshuffling resources between franchises.

Coverage of new readouts routinely includes discussion of looming loss-of-exclusivity cliffs, internal revenue targets or competitive threats that make a given asset more or less central to a company’s future. When collaborations, co-development deals or licensing agreements sit behind a program, he highlights how economics and governance of those relationships shape development decisions.

Across this work he treats business risk as multi-dimensional, blending scientific uncertainty, regulatory scrutiny and market dynamics rather than reducing it to a single financial metric.

Fast-turn industry news with technical clarity

Gelman writes primarily in a fast-turn news format, often filing closely against company announcements or major data events. His stories are concise but technically specific, taking the extra step to spell out what a headline result means in practical terms for clinicians, regulators and investors without resorting to boosterish language.

He regularly weaves in comments from company executives or external experts to test the strength of the narrative a company is presenting against the underlying data. Even on tight timelines, he avoids treating press releases as standalone sources, instead pressing for context on earlier trial phases, competing programs and what still needs to be proven.

The result is coverage that gives industry readers enough scientific and strategic detail to understand why a data point matters, not just that it happened.

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