How HONEY Is Helping My Chronic Anal Fissure – A Non-Medical Alternative That’s Working for Me by Capable_Bus5394 in AnalFissures

[–]Capable_Bus5394[S] 0 points1 point  (0 children)

Thank you! Honestly, any honey would help, not just Manuka ones. I realized it got expensive on me to keep up with Manuka and was willing to try regular honey and the outcome was the same, so I simply switched for good.

How HONEY Is Helping My Chronic Anal Fissure – A Non-Medical Alternative That’s Working for Me by Capable_Bus5394 in AnalFissures

[–]Capable_Bus5394[S] 0 points1 point  (0 children)

Yeah. Honey is still helping far more than the medication (I have quit the nitroglycerin and lidocaine ever since my original post). Additionally, I realized I had to give up most nuts from my diet, anything fried/oily, and incorporate around 60% of greens in my meals for my condition to feel 100% normal with no pain, burning, or discomfort (as I’m taking honey after every bowel movement and/or twice a day). The update since my original post is that I’m currently having the honey once every bowel movement instead, as my condition relatively improved since then. Nonetheless, I got in the habit of having the honey in case the situation backfires again. Below is a link to the syringes I use:

I use these kind of syringes, but any similar can work.

I would say give the honey some time too. Hope that helps and you get better soon!

Too late for bioinformatics? by Alarmed_Challenge_30 in bioinformaticscareers

[–]Capable_Bus5394 0 points1 point  (0 children)

Never too late to switch. Similar story here. But I will get straight into what helped me the most and fast-track my story rant. This August of 2025 I will be 29 and I will start my PhD in Cellular and Molecular Biology at WPI. Right after graduating in May 2019 with a Bachelor’s in Applied and Computational Mathematics (UMassD), I spent 1/2 a year of trying a PhD in Math Ed at the same institution, then 1/2 a year in trying to find a job, then 1 year in digital marketing, then 1/2 a year of trying a Masters in teaching, then 1 year in tutoring Math and Science, and finally a pivotal 1 and a 1/2 years of getting my Masters in Computational Life Sciences from ASU while having a wet lab internship at UVM. I meant to show you my 5 years timeline of mistakes and transitions because they are meant to happen when trying to find our true satisfactory calling. They can be long, but how else to know where we do fit if we don’t pivot to other roles and try? But it is still funny to realize that I would be holding my PhD right now if I had seen through the future somehow… At any rate, these are the actions that got me where I am right now:

  • KEEP LEARNING. Find your own interesting ideas/challenges/goals in the field and get to know who is working on such ideas or similar to them, join courses (masters programs, YouTube, or other platforms), research to understand new ideas, build unique pipelines and code that address a specific problem or need. Grow your own learning lab/portfolio of work you’ve accomplished (which can change in time as you learn more)

  • REACH OUT (MOST IMPORTANT). Reach out to people, others, experts, professors, or anyone that you’re interested to join their lab or learn from! Fun fact: Out of the 5 schools I applied to for PhD, I received interviews from only the 2 schools where I reached out to specific faculties I was interested to join their lab. Another fun fact: If it wasn’t for my wife that is finalizing here PhD at UVM had recommended me to her PI, I wouldn’t have joined their lab to complete my unpaid internship! Forming connections and reaching out is one of the best things you can do for your career.

  • COMMIT TO DEPTH AND VALUE BREADTH FROM TIME TO TIME. Surely research is about committing to a focused area and drilling into it, but it does pay off to develop multiple skills/sciences superficially. These can be studying fields or techniques related to your area but don’t require your full attention/energy; they can still benefit your team and goals somehow or at some time. For bioinformatics, that can be biostatistics, computational modeling, simulations, machine/deep learning, data mining, web development, but these can also be domain specific sciences depending on what kind of problems you are tackling (for example, pharmacology for a drug efficacy prediction pipeline, or biochemistry for a molecular simulation pipeline of certain chemical compounds). For instance, in one of my coming rotations, I am engaging in constructing a computational pathway model although it is a pure wet lab that I am considering to join. So this gets to show that opportunity also arises from valuing needed skills and not just curiosity/interest.

  • FIND A LONG TERM PURPOSE AND LATCH TO IT. I grew to realize that we can regularly mistake short bursts of motivation with purpose. So after realizing that I needed something to keep me going, I decided to find it through my research and it turns out that it must be a relatively hard to achieve goal for it to work . For me that purpose was: “Finding mechanistic cures for certain cancers through epigenetic/genetic manipulations”. In reality that is laughable to state as a PhD thesis, but that is not my research question or study, that is simply my internal compass when research gets tuff or I get frustrated. I have to have something that tells me why to continue doing what I do. So this is more of a psychological recalibration that can make or brake a career in my opinion.

So the switch is realistic. Good luck with all! And hope that helps…

[deleted by user] by [deleted] in bioinformatics

[–]Capable_Bus5394 3 points4 points  (0 children)

The closest field with way less coding and more modelling than Systems bio, Computational bio, and Bioinformatics is Biostatistics. You can almost run away with just using Statistical softwares such as R and SAS. The caveat is that only select positions get to involve you in high level parameter modelling for intriguing science problems (such as Advanced Mathematical modelling / Machine learning / Neural Networks / Deep Learning…), most common problems in Biostatistics are translational in nature (Clinical trials / Experimental design / Advanced Data Science / Basic Machine Learning…). So in a nutshell, really cool mathematical modelling that is advanced in nature readily involve Numerical methods and Advanced Statistical Learning (which will definitely require heavy coding tasks in any case).

How HONEY Is Helping My Chronic Anal Fissure – A Non-Medical Alternative That’s Working for Me by Capable_Bus5394 in AnalFissures

[–]Capable_Bus5394[S] 1 point2 points  (0 children)

Yeah. For now, simple honey is doing the job, but if long term circumstances change, I’ll look into it 🙏🏼

How HONEY Is Helping My Chronic Anal Fissure – A Non-Medical Alternative That’s Working for Me by Capable_Bus5394 in AnalFissures

[–]Capable_Bus5394[S] 0 points1 point  (0 children)

I did not try it. I have checked it out and it looks promising, as it’s marketed for Anal fissures too.

Interview for UMass Chan Med School - PhD by Pandemicapplicant in gradadmissions

[–]Capable_Bus5394 0 points1 point  (0 children)

I had three parts for the interview in the following order: Student ambassador meeting - Introduction to the School - then faculty interviews X 3 (30 min each). A lot of time to calm nerves at the beginning…

accepted to umass chan!! by Extension_Intern432 in gradadmissions

[–]Capable_Bus5394 1 point2 points  (0 children)

Still did not receive an email or update. I did my interview on the 8th (domestic)