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Enterprise pharmaceutical intelligence on a named program, including personalized neoantigen vaccine and longevity programs.

Joined August 2025
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Weighing a program whose value rests on one trial? Our Independent Trial Review shows what it ran, measured and reported, and where it changed, read against the registry. For BD and in-licensing teams. Request one complimentary named-program report puremonograph.ai/contact
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Replying to @PeterDiamandis
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The hard questions are the right ones. Recurrence-free survival was the primary endpoint, so overall survival still has to follow, and it isn't yet clear which tumor features predict who benefits. Which would you want answered first? puremonograph.ai teapaw.org/NewsfromScience/status…
As details emerged last week of the first tailormade cancer vaccine to prove itself in a major treatment trial, researchers began to ask hard questions about what the success truly means. Learn more: scim.ag/4zX2tzM
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PRISMA 2020 sets the reporting standard for systematic reviews. Before trusting a review's conclusion, check how studies were searched for, selected and combined. The method section often says more than the abstract.
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Regulatory science is where trial design meets what an agency will accept: endpoints, estimands under ICH E9(R1), real-world evidence standards. For project managers, estimands often come up too late. Will the symposium cover it? puremonograph.ai teapaw.org/SoCalCTSI/status/21159…
Working in clinical trial project management? Save the date for the Regulatory Science Symposium at USC’s Aresty Auditorium. @USCMann Jan. 22, 2027 | 9:00 am to 4:30 pm PST Questions? Contact Karen Manrique at [email protected].
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Companion-dog trials test aging interventions in animals that share our homes and exposures, which lab mice don't. The hard part mirrors human trials: an endpoint that moves before lifespan does. Which healthspan measure will TRIAD lean on most? teapaw.org/DogAgingProject/status…
Exciting news from the TRIAD cohort! 🎉We’re celebrating another graduate from our clinical trial study! 🐶🎓 Want to help dogs live longer, healthier lives? 🐾 Discover if your doggo is eligible for TRIAD: dogagingproject.org/triad #TRIAD #DogGrad #Dogs
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For a quality-of-life question, the instrument decides what the trial can show. FDA's patient-focused drug development guidance asks for patient-reported outcome measures fit for purpose in the population. Which PRO is primary here? puremonograph.ai teapaw.org/OSUCCC_James/status/21…
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The real test for AI prescreening is who it misses: an eligible patient screened out never shows up in the denominator. Did the team hand-audit a sample of AI-excluded charts? That is where bias would hide. puremonograph.ai teapaw.org/ASCOPost/status/211591…
🖥️ #ASCOAI: Could #AI improve clinical trial recruitment? At #ASCOQLTY26, @ravi_b_parikh & So Hee Ahn, BS, MS, discuss how a neurosymbolic AI model improved prescreening efficiency, inclusivity for a phase III #ProstateCancer trial. 🎥 Watch the video 👉ascoai.org/videos/newsreels/…
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The complexity is why ICH E6(R3) leans on quality by design: name the few factors critical to quality, such as eligibility, the primary endpoint and dosing, and protect those rather than monitoring everything equally. Which one fails most often for you? teapaw.org/anna_kosti2200/status/…
For anyone hoping AI will cure all diseases in 5 years, sitting through just ONE advisory board meeting with clinical KOLs is highly recommended. The sheer complexity of running a single clinical trial is humbling. Making it a success? 10x harder. #TechBio #DrugDiscovery #Biotech
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Mapping senescent cells is the step trials need: a senolytic study has to show the drug lowers senescence burden in the tissue it targets, using a validated marker, before clinical endpoints mean much. Which tissue would you sample first? teapaw.org/Boldstocksbabe/status/…
Mapping out our body’s zombie cells might finally crack open aging biology. Mayo Clinic researchers published seven studies across Nature journals examining how senescent cells trigger chronic inflammation. The team introduced a gene-profiling tool called SenMayo to identify these nondividing cells across different human tissues and experimental models. Pinpointing cellular culprits so precisely gives drug developers an actual target for healthy longevity. Read more: sciencedaily.com/releases/20… #Biotech #Longevity
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UK Biobank volunteers are healthier than the population they come from, so absolute risks often read low even when internal associations hold. Before applying a finding like this to patients, which matters more to you: the relative effect or the baseline risk? teapaw.org/drterrysimpson/status/…
There is a remarkable difference between finding evidence that challenges your assumptions and finding evidence that conveniently reassures you that you are the exception. This is an interesting paper by Sniderman and colleagues, examining nearly 294,000 UK Biobank participants and finding that higher HDL cholesterol modifies the association between ApoB and cardiovascular events. The interaction is real, statistically significant, and worthy of further investigation. But the leap from an observational association to suggesting that an individual with an LDL of 574 mg/dL and ApoB above 350 might be immune to atherosclerosis is quite another matter. In fact, the authors specifically caution that the observed interaction should not be taken as firm clinical evidence that ApoB ceases to be atherogenic or doesn't require treatment when HDL is high. That's a rather important sentence to leave out when you're discussing immunity. A statistical model showing attenuation of risk at high HDL is not a clinical trial. Nor does it establish that raising HDL is protective, or that someone with extraordinarily elevated ApoB can safely ignore decades of exposure. We've spent years discovering that increasing HDL cholesterol pharmacologically doesn't reliably reduce cardiovascular events. HDL is an interesting biomarker, but biomarkers and causal mechanisms aren't interchangeable. And then there is the problem of extrapolation. The ordinary distribution of ApoB in UK Biobank is not populated by large numbers of otherwise healthy individuals walking around with an LDL approaching 600. A modeled relationship at the extremes of HDL doesn't validate a personal experiment at the extremes of ApoB. Which brings me to my friend Simon Hill, @theproof, who recently published something I found considerably more rigorous and intellectually open. Simon had coronary CT angiograms suggesting a remarkable 48% reduction in plaque volume over 16.5 months. He could have celebrated, announced that his diet had reversed atherosclerosis, and made an excellent marketing campaign out of it. Instead, he examined the scans using three different analysis platforms. One suggested substantial regression, another progression, and the third essentially no change. Rather than promoting the most flattering result, he openly discussed the uncertainty. That's what scientific curiosity looks like when the evidence doesn't cooperate with your expectations. Simon also has something that makes this discussion more than academic. His father had a myocardial infarction at 41 and his grandfather at 49. Simon is now 40. He has lived with the consequences of cardiovascular disease in his family, and it's understandable that he wants to reduce his risk as much as reasonably possible. He has even started a PCSK9 inhibitor despite having an ApoB around 70–80 without medication. We can debate whether targeting an ApoB below 40 with Repatha offers sufficient additional clinical benefit in someone with his particular risk profile. That's a legitimate discussion. But I applaud his desire to live longer and his willingness to question his own most favorable findings. I understand the emotional component of this better than most. My own coronary calcium score is 90. I take rosuvastatin and ezetimibe, achieved an LDL around 60, and have seen it fall further since starting tirzepatide. I have no particular desire to measure every cubic millimeter of plaque in my coronary arteries. I know there is atherosclerosis, I know what the evidence supports, and I am treating the risk factors I can change. Simon wants more information and more aggressive prevention. I am comfortable treating what I already know. Neither approach requires pretending that uncertainty has disappeared. We physicians spend our lives talking about hazard ratios, plaque volumes, confidence intervals, and relative risk reductions. Yet one disrupted coronary plaque with a superimposed thrombus can turn all those abstractions into a very final event. That's why I care more about preventing myocardial infarctions than winning a competition over whose scan looks better. The remarkable thing about the comparison is that both Simon and Norwitz have favorable personal findings. Simon asks whether his are reliable. Norwitz highlights an observational study that might explain why his own findings are reassuring. There is a lesson there about confirmation bias, and it applies to all of us, physicians included. The Sniderman paper deserves attention. It may teach us something important about HDL biology and cardiovascular risk. But it does not establish immunity from ApoB, and it certainly doesn't overturn the causal evidence supporting LDL lowering. Science progresses when we investigate the observations that don't fit our models, not when we promote the observations that make us feel invulnerable. After all, the goal isn't to prove that your arteries are special. It's to live long enough that they never become the reason you aren't.
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The regulatory groundwork exists: EMA has qualified a prognostic-covariate method that lets trials shrink control arms, if the model is prespecified and validated outside the trial. For aging trials, which outcome would you trust a twin to forecast? teapaw.org/DrDan_XD/status/211587…
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Before anyone bets on a trial outcome, someone has to define it. Registries record the primary endpoint in advance, yet headlines often hinge on secondary or composite measures. Which endpoint would a market settle on, and who adjudicates it? teapaw.org/michael_hoerger/status…
JAMA today: Should prediction markets allow bets on clinical trial outcomes? jamanetwork.com/journals/jam…
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For serious mental illness, RWE stands or falls on outcome definitions: relapse or hospitalization coded in claims needs validation against charts before it carries weight. FDA's RWE framework asks the same fit-for-purpose question. Which outcome is hardest to validate? puremonograph.ai teapaw.org/NIH_Innovates/status/2…
📣 Request for Information: Strategies to Advance RAPIDs and Real-World Evidence for Serious Mental Illnesses and Related Brain Disorders NIH’s National Institute of Mental Health (NIMH) seeks input on strategies to build a coordinated evidence base that can guide the clinical practice and implementation of rapid-acting psychotropic interventional drugs (RAPIDs) for treating serious mental illnesses and related brain disorders. 📆 Comments are Due November 9, 2026 🔗 Learn more and submit a response: bit.ly/4sQ9oIN
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CONSORT gives a checklist for reporting randomized trials. It does not judge whether a trial is good; it shows whether a reader has what they need to judge. A missing item is a question to ask, not a verdict. Which item do you find missing most often?
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Finding risk earlier only helps if the score is calibrated in the people it is used on, which is why TRIPOD asks for external validation. How do you check calibration before a risk tool reaches a new clinic population? puremonograph.ai teapaw.org/corserahealth/status/2…
Next week, our CMO and COO head to Chicago for @American_Heart's #AHA26 Scientific Sessions. We look forward to connecting with the #cardiovascular community & engaging in conversations about the importance of identifying CVD risk earlier to prevent disease & extend healthspan.
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Escape velocity also needs a regulatory path. Aging isn't an approved indication, so trials like TAME propose a composite of age-related diseases as the endpoint. Each advance has to move an outcome regulators accept. Which endpoint gets there first? teapaw.org/McDonaghMatthew/status…
I believe we are going to solve aging like a problem. Longevity escape velocity asks us to imagine a future in which each medical advance gives us more time to reach the next. Imagine gaining 3 years of lifespan each year? That is a future worth building. We can pursue it by turning discoveries into treatments that preserve health, restore function and keep more possibilities open. I believe we will solve aging like a problem. Each healthy year gained gives us another chance to add more than 1-year, reaching longevity escape velocity like a rocket leaving Planet Death forever.
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Most "age well" advice rests on observational cohorts, where healthier people also pick healthier habits. The sharper question is which recommendations hold up in randomized trials on function, not just survival. Which one has the strongest trial evidence? puremonograph.ai teapaw.org/UCSFGeriatrics/status/…
Dr. @annachodos.bsky.social, discusses longevity and factors that can support healthy aging in a new article for Your Local Epidemiologist, “Forget living to 150: What actually helps you age well.” Read more: yourlocalepidemiologist.subs…
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Shared molecular patterns fit what autopsy studies keep showing: mixed pathology is common, and clinical labels often miss it. For trials, that argues for biomarker-confirmed enrollment rather than diagnosis alone. Which shared pathway would you test first? puremonograph.ai teapaw.org/GeroScienceAGE/status/…
🧠 New in #GeroScience | Open Access What molecular patterns do Alzheimer’s disease and dementia with Lewy bodies share? In “A pattern to rule them all: tracing a human brain map of molecular aspects shared by Alzheimer’s disease and dementia with Lewy bodies,” Riccardo Rocco Ferrari and colleagues explore shared molecular features of these two major neurodegenerative diseases. 🔬 Understanding these common molecular patterns may help advance our knowledge of disease mechanisms and identify new directions for research into neurodegeneration and brain aging. 📖 Read the open-access article: rdcu.be/ZDnpU3mdYYza #AlzheimersDisease #DementiaWithLewyBodies #Neurodegeneration #BrainHealth #AgingResearch #Geroscience
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RWE earns weight when the design is visible: a protocol fixed before the data are pulled, a target trial the analysis emulates, confounders named up front. FDA's RWE framework asks whether the data are fit for the question. Which of those do payers check first? puremonograph.ai teapaw.org/amcporg/status/2115865…
Cate Lockhart, PharmD, PhD, Chief Science Officer, AMCP & Executive Director, BBCIC and AMCP Research Institute (ARI) spoke with Pharmaceutical Commerce about how payers and health technology assessment bodies weigh real-world evidence (RWE). "In a survey conducted through the Academy of Managed Care Pharmacy's (AMCP) Research Institute, 80% of payers that were surveyed reported wanting to use real-world evidence (RWE) in their formulary and coverage decision-making, despite just 18% regularly using it in their processes. AMCP has since published payer-focused RWE standards, including a checklist manufacturers can use as a template when sharing RWE with payer decision-makers." Read more: pharmaceuticalcommerce.com/v… Learn more about AMCP Research Institute: amcp.org/research-Institute #RWE #healthcare #managedcarepharmacy #evidence #AMCPResearch #AMCPNexus
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