I think double-blind studies are important because they make the results fairer and more unbiased. In a single-blind study, only the patient doesn’t know what they are getting, but the doctor does, and that can still affect the results. If…   Read more»

Choosing between going public or staying private depends on the kind of strength a company seeks—public companies benefit from access to large-scale capital, increased visibility, and liquidity for shareholders, which can accelerate expansion and attract top talent, but they also…   Read more»

Artificial intelligence has been up on the rise as of recent years, but it seems to be slowly taking over this past year. I have not seen this much use of AI until this year. AI can be used to…   Read more»

Clinical experiments require human testing and this is usually done after preclinical trials have passed in animals and are deemed safe to perform on human testing. It is more involved than animal testing as it has more risks and precautions…   Read more»

Reading all of the responses, I would like to disagree that the placebo effect cannot have any negative effects on a clinical trial. I think that placebo effects can skew data results in pharmaceutical drug research and testing even if…   Read more»

I think one the most obvious reasons for participants to volunteer or willing join a clinical study is the financial compensation (or equivalent) they may receive for their time in the study. Not all studies, but some do provide participants…   Read more»

I think whether or not you need a clinical background in this specific field is highly dependent on the role you are taking. For example principle investigators certainly should have clinical experience or come from a clinical background. These individuals…   Read more»

As you’ve mentioned, people who don’t have a clinical background can work in this profession but it could be more “challenging” than someone who does have a clinical background. I think having a clinical background gives people an upper hand…   Read more»

I think one of the biggest advantages to clinical studies is that we get access to better healthcare practices with a new drug or device. clinical studies are the most reliable way of testing whether a new drug or device…   Read more»

I think a double blind study is better or rather more reliable than a single blind study because it removes the bias from any side. In a single blind study, only the patient is unaware of what they are taking…   Read more»

If patients are being rewarded for being tested on, the researcher may take advantage of them and perform unethical experiments. Patients have the right to leave the clinical trial whenever for whatever reason. If they receive an incentive to keep…   Read more»

In my opinion, the placebo effect does not have negative effects on a clinical trial. The placebo is the control, which is compared against the actual drug/medication that is given. If a patient in a clinical trial is given the…   Read more»

AI use in clinical trials can introduce bias into how patients are selected and who is chosen, and this is because humans make AI using their own biases. This affects the reliability of the trial results because the patients in…   Read more»

The placebo effect creates difficulties in clinical trial result analysis because it demonstrates how mental factors can affect actual physical health results. The brains of patients who receive sham treatments show the same level of improvement as those who receive…   Read more»

Researchers use various approaches to minimize placebo effects while confirming that their results show the genuine effects of treatments. The most common approach is blinding. Single-blind studies protect against bias because participants remain unaware about whether they receive actual treatment…   Read more»

The use of AI in clinical trials generates major ethical concerns which endanger both research reliability and participant confidence. The main problem stems from unfair selection procedures that researchers used to pick their study participants. AI algorithms develop biases when…   Read more»

Based on the responses thus far, transparency, bias, and privacy seem to be the three most critical and identified ethical challenges for using AI. I want to expand a bit on the accountability aspect, which becomes increasingly complex as AI…   Read more»

Virtual trials and telemedicine have certainly bolstered the inclusivity of recruitment, but another promising development is the use of real-world data (RWD) and artificial intelligence (AI) to select subjects more efficiently. There are CROs who are now increasingly partnering with…   Read more»

I agree that patient safety and data integrity are critical to ethical clinical research, and the principles of ICH-GCP certainly operationalize such goals. For example, ICH E6 (R2) emphasizes accurate documentation along with risk-based quality management systems, enabling sponsors and…   Read more»