Archive for July, 2012


Monday, July 30th, 2012

When someone gives me a dead fish handshake, I’m like



Sherm’s Megamuffins and avoiding malnutrition in busy times

Sunday, July 29th, 2012


A recent series of events involving food poisoning and being incredibly busy – laid on the groundwork of me being cheap and disliking cooking – led to me eating not much more than peanut butter on toast and a couple bowls of oatmeal, with various powders thrown in it, every day. (Having not eaten grains for the past decade, this was quite a change for me.)

I let it go on for weeks, for the sake of experiment :). I liked how much better my stomach felt not having to process large amounts of raw vegetables (+). I liked feeling more mentally alert in the morning – and I’ve accepted that carbs are good for my brain. But I recently began to worry about malnutrition, a likely consequence of this poor diet. 

Not getting proper nutrition can happen easily when you’re either not focused on it on a daily basis or not prepared. Having experienced the negative side of hyper-focus on nutrition, I wanted to move away from obsession and toward preparation.

So I hearkened back to Sherm’s Megamuffins, a staple in many a CRONies diet. These muffins seemed like the perfect blend of healthy foods in a preparation relatively gentle on the stomach, which could be made in advance and frozen.

I made these last night and will be munching on them throughout the week. Whether I come out better or worse remains to be seen but it’s certainly worth the experiment.

Recipe below. My ingredient swaps are noted but anything below the ingredient list comes not from me but from this original post.


–Everything halved. Subs noted in *

Large dry ingredients 
2 boxes (454 g/1 lb) Ener-G rice bran 
1 C dark rye flour 
2 2/3 cup psyllium husk *1c metamucil
1 cup wheat bran 
3 T calcium-carbonate based “baking powder” 
6 x 20 g scoops Jarrow whey protein powder
2/3 cup brewer’s yeast *unsweetened cocoa powder
100 g raw almonds *not used
89 g almond meal *not used

Blender ingredients 
5 T Pumpkin Pie Spice (Unsweetened) *cinammon
1 T PURE sucralose *stevia powder + splenda
10 g NAC (N-acetylcysteine) powder 
45 mg (elemental) zinc (supplement) *not used
3 whole fresh eggs (flax-fed omega-3 preferred) 

3 cups skim milk *forgot!!!
300 g endive *Napa cabbage
340 g guava *papaya
240 g canned unsalted pumpkin *carrot
200 g whole orange *didn’t use

Large Pot or Bowl Wet ingredients 
24 egg whites (3 x 250 mL cartons) 
3 T olive oil or HOSO *MCT oil
3 T Reconstituted Z-Trim *didn’t use
800 Calories’ dried fruit (Eg, “Just Blueberries” and cranberries) *didn’t use
Sprinkle On Top 
3/8 T K metabisulfite *didn’t use but want to get

Bake at 325-degrees F. 


1. Mix together the dry ingredients in a large bowl. Set aside. 

2. Put pumpkin pie spice, sucralose, NAC, Reconstituted Z-Trim, and whole eggs in blender. Cram as much of the endive, cut-up oranges and guava, and pumpkin into the thing as you can at a time and blend until very smooth. Sequentially dump into the separate large pot or bowl (NOT the one containing the dry ingredients!). 

3. Throw the remaining Large Pot or Bowl Wet ingredients (egg whites, olive oil or HOSO, and dried fruit) into the wet-ingredient Large Pot or Bowl. Mix thoroughly. 

4. Pour wet ingredients into the dry ingredients. Mix thoroughly until you have a uniform mixture. This is hard work for about 5 minutes. Make sure there are no dry spots left. 

5. Preheat oven 325-degrees F. 

6. Quickly distribute the now-rising dough evenly into two 10” x 14” baking pans. For maximal efficiency and minimal hassle, use baker’s parchment. 

7. Sprinkle metabisulfite onto the surface of the muffins. 

8. “Tent” the muffins: use enough tin foil to cover the sides of the pans, cutting a rectangular hole in the center of the foil to expose all but ~1-2” of the top surface. This minimizes excess browning while allowing for the cooking of the centers. 

9. Cook in preheated oven for 50 minutes. If they don’t both fit on one level, swap them top-to-bottom in the oven after 30 minutes since it is always hotter at the top and you want both batches to get the same amount of heat. 

12. Remove from oven, invert carefully out of the pan. 

13. Using a tape measure, cut into an appropriate number of slices. The analysis assumes 20 muffins, so each pan is cut in half one way and 5 (2.75”) the other. 

14. Pack in zip-loc freezer bags to retain moisture. Keep refrigerated or frozen. I put them straight into the freezer. IMO, they’re best when frozen and then thawed, rather than fresh. 

* You can substitute other dried fruit for the cranberries, of course. I use a mixture of the readily-available oiled, sugared dried cranberries with ‘Just Blueberries’ and “Just Cranberries,” which are available at Whole Foods and elsewhere & as the name implies are dried berries — period. This REALLY brings the Cal down, and because these things are at full volume, you would likely have a really hard time if you used these exclusively for 800 Calories. I typically use 21 g (75 Cal) of cranberries, 56 g (100 Cal) with the remainder the regular ones. 

* Spices are a matter of personal preference. 

* Other non-caloric sweeteners could be used in place of sucralose, but sucralose APPEARS to be the most well-documentedly safe noncaloric sweetener. NB that this is PURE sucralose, not ‘Splenda’ (which is ‘cut’ with maltodextrin). Sucralose is available from crbaisc < warren.taylor at earthlink dot net >, although he is currently cutting it with cellulose: you’ll have to adjust the volume of sucralose you use accordingly, but at least it adds no empty Calories. 

* I use eggs from flax-fed hens, to lower AA, cholesterol, and SaFA relative to what the analysis says. Alas, this DOES mean some extra DHA — my only dietary source. 

* I use commercial liquid egg whites rather than hand-separated egg whites — MUCH less hassle. 

* I use Ener-G brand sodium-free baking powder, which has the advantage of being loaded with Ca (this contributes over 500 mg of Ca per serving) without adding Na. K-based products are a good second best. If you have to use a sodium-based baking powder, that’s OK, but DO try to find aluminum-free baking powder at the very least. 

* Psyllium husk is not entered in DWIDP or the USDA database. I have seen WILDLY variant nutrition info on the web, some of which is patently wrong. Sherm offered an educated guess as to the truth a couple of years back; I finally got authoritative info via the WUSTL nutritionist, who got the following from a nutrition database from the University of Minnesota, and it matches that guess pretty darned closely: 

357.24 g of psyllium seed husks = 179 calories, 1.79 g fat, 288.65 g. carbohydrate, 10.36 g. protein, 125 mg sodium, 257.22 g dietary fiber, 204.3 g soluble fiber. 

Note that there is considerable brand-to-brand variation in the weight of a given volume of husk, due to how finely it’s ground, so double-check this before scooping into the mixing bowl. 

* I use baking parchment, after a tip from John Roberts, which REALLY reduces the hassle of extracting the muffins and cleaning up afterward, & avoids any evil gunk you might get off of the sides of the pan. Environmentally rather a poor option, alas Sad — although it can be re-used for many batches. 

* The rice bran is probably the most important ingredient for nutrition, although its phytic acid does mean that the mineral bioavailability is reduced. Buy it in sealed containers if possible, to avoid peroxidation of the fats and loss of the tocotrienols. I buy Ener-G rice bran at a local health food store. You can easily get it by mail from their web site or 1-800-331-5222. Look under “flours” to find the rice bran product and buy the 8 oz (227g) size which costs less than $2! 

* For the protein powder, use plain, unflavored, unsweetened stuff, and (to get the best nutritional bennies) use a concentrate rather than an isolate. I use Jarrow’s American Whey (Unflavored/Natural), mostly because it meets the above criteria and I get it on the cheap; other reputable brands will do as well. NB that the scoop that comes with this brand is 23 g, whereas I use a 20 g scoop. 

* NAC (N-acetylcysteine) powder is available from Carlson, which can be purchased from the Vitamin Shoppe and elsewhere. NAC is also a major inhibitor of food AGE formation and also do a bit against acrylamide; the Muffins & Brownies are by far the biggest risk for this in my diet, so having a convenient chemical interdictor is a bonus. K metabisulfite is available in home wine-making hobby stores, where they commonly just know it as “sufites.” 

* HOSO: High-oleic sunflower oil. Similar fatty acid profile to olive oil, but with a taste more compatible with a muffin. True, pure, unrefined HOS is quite tasty but I haven’t been able to find it for years: some regular grocery stores carry refined HOSO, and Omega Nutrition makes an unrefined, blended oil mixed w/sesame and coconut oil, making the taste & fatty acid profile a little poorer than the real thing. Spectrum Naturals carries a ‘naturally refined’ HOSO as well. According to the company, they do the extraction with expeller pressing, the bleaching using a clay and diatomaceous earth filtratioin system, and then a vaccuum-chamber steam deodorization — ie, no chemical processes at any step. I’d still rather have the phytosterols and (likely) other missing goodies, but it seems that this is less likely to produce evil & more likely to leave fat-soluble antioxidants intact. Now if only they’d produce it in dark glass … 

* Z-Trim: a fat substitute. See: < >. Gives the mouth feel with negligible Calories. I use it in vegetarian “gravy,” stews, and mixed spiced steamed vegetables. 

Recipe Nutrient Analysis: Note that this is for a slightly older iteration; the new one, as noted, is higher protein, and the micronutrients will have shifted somewhat, too. 

Calories/Serving: 337.92 
PCF Ratio: 25-44-32 

Nutrient Single Serving Total Recipe 
Calories (kcal) 337.92 6758.43 
Energy (kJ) 1408.42 28168.37 
Protein (g) 23.77 475.34 
Calories from Protein 83.03 1660.52 
% Calories from Protein 24.57 24.57 
Carbohydrates (g) 42.30 845.98 
Calories from Carbohydrates 147.76 2955.30 
% Calories from Carbohydrates 43.73 43.73
Fat (g) 13.63 272.60 
Calories from Fat 107.13 2142.62 
% Calories from Fat 31.70 31.70 
Saturated Fat (g)* 2.33 46.59 
Monounsaturated Fat (g)* 6.70 133.91 
Polyunsaturated Fat (g)* 3.47 69.45 
Omega-3 (g)* 0.15 3.02 
Omega-6 (g)* 3.27 65.31 
Cholesterol (mg) 31.58 631.62 
Phytosterols (mg)* 19.21 384.15 
Starch (g)* 0.07 1.38 
Sugars (g)* 5.66 113.30 
Total Dietary Fiber (g)* 15.83 316.68 
Vitamin A (IU)* 3266.07 65321.35 
Thiamin (mg)* 1.62 32.34 
Riboflavin (mg)* 0.70 14.05 
Niacin (mg)* 11.42 228.34 
Pantothenic Acid (mg)* 3.17 63.49 
Vitamin B-6 (mg)* 1.26 25.25 
Total Folate (mcg)* 60.40 1207.98 
Vitamin B-12 (mcg)* 0.61 12.10 
Vitamin C (mg)* 50.07 1001.33 
Vitamin D (IU)* 17.52 350.40 
Vitamin E (IU)* 7.32 146.44 
Tocopherol, Alpha (mg)* 2.84 56.70 
Tocopherol, Beta (mg)* 0.04 0.81 
Tocopherol, Gamma (mg)* 0.08 1.68 
Tocopherol, Delta (mg)* 0.02 0.47 
Biotin (mcg)* 7.22 144.45 
Calcium (mg)* 316.03 6320.65 
Chromium (mcg)* 10.17 203.30 
Copper (mg)* 0.74 14.86 
Iron (mg)* 7.33 146.68 
Magnesium (mg)* 271.51 5430.24 
Manganese (mg)* 4.74 94.84 
Phosphorus (mg)* 665.48 13309.62 
Potassium (mg) 939.94 18798.80 
Selenium (mcg)* 23.13 462.58 
Sodium (mg) 117.79 2355.86 
Zinc (mg)* 3.40 68.03 
Cystine (g)* 0.42 8.43 
Histidine (g)* 0.43 8.68 
Isoleucine (g)* 1.16 23.22 
Leucine (g)* 1.87 37.33 
Lysine (g)* 1.47 29.42 
Methionine (g)* 0.47 9.34 
Phenylalanine (g)* 0.97 19.42 
Threonine (g)* 1.16 23.27 
Tyrosine (g)* 0.73 14.69 
Tryptophan (g)* 0.33 6.65 
Valine (g)* 1.30 25.93 
FA 16:0 Palmitic (g)* 1.63 32.67 
FA 18:0 Stearic (g)* 0.27 5.45 
FA 18:1 Oleic undifferentiated (g)* 6.64 132.77 

Do We Need Doctors Or Algorithms? | TechCrunch

Tuesday, July 24th, 2012

Cross-posted from

Do We Need Doctors Or??Algorithms?

Tuesday, January 10th, 2012


Editor???s note: This is Part II of a guest series written by legendary Silicon Valley investor??Vinod Khosla, the founder of??Khosla Ventures. In??Part I, he laid the groundwork by describing how artificial intelligence is a combination of human and computer capabilities. In Part III, he will talk about how technology will sweep through education.

I was asked about a year ago at a talk about energy what I was doing about the other large social problems, namely health care and education. Surprised, I flippantly responded that the best solution was to get rid of doctors and teachers and let your computers do the work, 24/7 and with consistent quality.

Later, I got to cogitating about what I had said and why, and how embarrassingly wrong that might be. But the more I think about it the more I feel my gut reaction was probably right. The beginnings of ???Doctor Algorithm??? or Dr. A for short, most likely (and that does not mean ???certainly??? or ???maybe???) will be much criticized. We???ll see all sorts of press wisdom decrying ???they don???t work??? or ???look at all the silly things they come up with.??? But Dr A. will get better and better and will go from providing ???bionic assistance??? to second opinions to assisting doctors to providing first opinions and as referral computers (with complete and accurate synopses and all possible hypotheses of the hardest cases) to the best 20% of the human breed doctors. And who knows what will happen beyond that?

Assessing??Current Healthcare

Let???s start with healthcare (or sickcare, as many knowledgeable people call it). Think about what happens when you visit a doctor. You have to physically go to the hospital or some office, where you wait (with no real predictability for how long), and then the nurse probably takes you in and checks your vitals. Only after all this does the doctor show up and, after some friendly banter, asks you to describe your own symptoms. The doctor assesses them and hunts around (probably in your throat or lungs) for clues as to their source, provides the diagnosis, writes a prescription, and sends you off.

The entire encounter should take no more than 15 minutes and usually takes probably less than that. Sometimes a test or two may be ordered, if you can afford it. And, as we all know, most of the time, it turns out to be some routine diagnosis with a standard treatment . . . something a computer algorithm could do if the treatment involved no harm, or at least do as well as the median doctor (I am not talking about the top 20% of doctors here???80% of doctors are below the ???top 20%??? but that is hard for people to intuit!).

So what???s wrong with this situation? This is by no means an exhaustive list, but it sets up a nice springboard:

  • Physically having to go to your doctor???s office makes sense for the most part, except that a lot of the basic tests are either visual (tongue and throat check) or auditory (listening to the breath and vibrations in the abdomen). Time plus cost will often discourage people from taking that first step to visit a doctor. Most of the time a Dr. A could at least advise you when it is worth visiting based on your normal body functions, your current indications, and your locality???s current infections and other symptom trends.
  • A lot of the vitals being tested for (e.g. blood pressure, pulse) can now be routinely done at home or even with the help of an iPhone and an explosion of additional possibilities will emerge in the next decade.
  • You are the one telling the doctor your symptoms.
  • The doctor has to inquire (probably every time) into any possible history of each symptom, test results, and illnesses, except when he does not have time for you in that village in India.
  • The prescriptions are still done on paper, requiring you to, again, physically go to a pharmacy and pick up what you need there. So compliance is an issue.

Looking at this, I cannot help but think that this is a completely antiquated system (regardless of whether it is healthcare or not)!

Going down the list, we find a pretty negative assessment. The vital signs could all be determined with the help of mobile devices, the operation of which do not require years of training and a certification. You will be able to do this??by yourself???Philips already is??using the iPhone camera??to try to measure vital indicators, others will be even more innovative and as an insurance company it would be cost-effective to give them to every insured person for free.????Skin Scan?? is measuring your risk of skin cancer from a photograph of a skin lesion. Telemedicine is accelerating and a Qualcomm company is measuring heart rates using an iPhone. Cell phones that display your vital signs and take ultrasound images of your heart or abdomen are in the offing as well as genetic scans of malignant cells that match your cancer to the most effective treatment. Ear infect
ion and skin rash pictures and more will all be mobile phone based, often supplemented by the kind of (fractal) analysis that Skin Scan does, and more than what the doctors naked eye could usually see.

The history of symptoms, illnesses, and test results could be accessed, processed, and assessed by a computer to see any correlation or trends with the patient???s past. You are the one providing the doctor with the symptoms anyway after all!

Any follow-up hunts for clues could again be done with mobile devices. The prescriptions???along with the medical records???could relocate to electronic and digital methods, saving paper, reducing bureaucracy, and easing the healing process. If 90% of the time the doctor knows exactly the right kind of diagnosis from these very few and superficial inputs (we haven???t even considered genetics yet!), does it really require 10+ years of intense education for every diagnostician?

The fault is not entirely with the doctors, though. Most of us don???t know what set of symptoms warrant the full-scale attention of medical personnel, so we either go all the time or we do not go at all (save for emergencies). We also cannot realistically expect any (even our family) doctor to remember every single symptom and test result over the years, definitely not in a government hospital in China. Similarly, we cannot expect our doctor to be able to remember everything from medical school twenty years ago or memorize the whole Physicians Desk Reference (PDR) and to know everything from the latest research, and so on and so forth. This is why, every time I visit the doctor, I like to get a second opinion. I do my Internet research and feel much better.

Identifying??Emerging Trends In Healthcare

But I always wonder why I cannot input my specific test numbers and have a system offer me a ???second opinion??? on the diagnosis since it has all the data that the doctor has and can use all my??current and historical data effectively. In fact, it is not hard to imagine it having more data than the doctor has since my full patient record would be at the tip of its digital brain, unlike the average doctor who probably doesn???t remember my blood glucose levels or my??ferritin??from two years ago. He does not remember all the complex correlations from med school in which ferritin matters???there are three thousand or more metabolic pathways, I was once told, in the human body and they impact each other in very complex ways. These tasks are perfect for a computer to model as ???systems biology??? researchers are trying to do.

Add to it my baseline numbers from when I was not sick, which most doctors don???t have and if they did 80% of physicians would be too lazy to use or not know how to use.??Applied Proteomics??can extract tens of gigabytes of proteomics???what my genes are actually doing instead of what they can do???baseline data from one drop of blood. Oh, by the way I have my??23andMe??data to add my genetic propensities (howsoever imprecise today, but improving rapidly with time and more data). The doctor uses a lot of imprecise judgments too as most good doctors will readily admit. My very good doctor did not check that I have relative insensitivity, genetically, to Metformin, a diabetes drug. It is easy to input the PDR (the Physicians Desk Reference), the massively thick, small-font book that all physicians are supposed to know backwards and forwards. They often don???t remember everything they read, in med school but it is a piece of cake for computers. The book on your typical doctor???s desk is probably not current on the leading-edge science either. Confirmed science and emerging science are different things and each has a role. Doctors mostly use confirmed science, the average doctor not understanding and pros and cons of each or the expected value of a treatment (benefit and harm). And our 18th??century tradition of ???first do no harm??? dictates that if a treatment hurts ten patients a year but saves a thousand lives we reject it.

With enough examples, today???s techniques for language translation (or newer techniques) can translate from human lingo for symptoms (???I feel itchy??? or ???buzzy??? or ???reddish bubbly rash with pimples??? or ???less energy in the morning??? or ???sort of a stretch in my tendon??? and the myriad of imprecise ways symptoms are described and results interpreted?? ??? these are highly amenable to big data analysis) into medical lingo matching the PDR. With easy input of real medical results into a computer and long-standing historical data per patient and per population, which a human cannot possibly handle, and patient and population genetics, I suspect getting a second opinion of my diagnosis from Dr. A is a reasonable expectation, and it should certainly be better than a middling physician???s (especially in less developed countries like India, where there is a dire shortage of trained physicians).

I may still need a surgeon (though robotic surgeons like those from??Intuitive Surgical??are on the way too) or other specialists for some tasks for a little while and the software may move from ???second opinion??? (in three years? Or seven?) to ???bionic software??? for the physicians (in five or ten years, with enough patient data?).????Bionic software, again,??defined here as software which augments and amplifies human understanding.

But I doubt very much if within 10-15 years (given continued investment and innovation and keeping the AMA from quashing such efforts politically) I won???t be able to ask Siri???s great great grandchild (Version 9.0?) for an opinion far more accurate than the one I get today from the average physician. Instead of asking Siri 9.0, ???I feel like sushi??? or ???where can I dispose a body??? (try it???it???s fairly accurate!) and with your iPhone X or Android Y with all the power of IBM???s current Watson computer in the mobile phone and an even more powerful ???Nvidia times 10-100??? server which will cost far less than med school with terabytes or petabytes of data on hundreds of millions (billions?) of patients, including their complete genomics and proteomics (each sample costing about the same as a typical blood test).

IBM???s Watson computer, I understand, is now being??applied to medical??diagnosis after handling imprecise and vague tasks like??winning at Jeopardy,??which experts a few years ago would have said could not be done. ???Computers cannot match the judgment of humans on these kinds of tasks!??? And with enough data, medical diagnosis or 90% of it is an easier task than Jeopardy.

Already Kaiser Permanent already has 10 million real-time medical records with details of 30,000,000 e-visits last year with caregivers and computer modeling of key diseases per individual that data scientists would love to get their hand on. Already, according to IDC 14% of the US population is using their phones for medical help and??200 million??health and fitness related mobile applications have been downloaded according to pyramid research.??Fun stuff, though early. They are probably two generations away from systems that are actually useful.

A more elaborate vision, one that is not very useful today because of lack of enough data and enough science, is defined in??Experimental Man?
?and websites like??Quantified Self. Though they feel like toys today, they are much further along than the mobile phone was pre-iPhone in January of 2007. And data, the key ingredient to useful analysis, and diagnosis, is starting to explode exponentially???be it genetic data, proteomic data or physical data about my steps, my exercises, my stress levels or my normal heart and respiration rates.

My??UP wristband??or something like it (disclosure: I am an??investor??in Jawbone)) will know all my sleep patterns when I am healthy and how many steps I take each day and may have more data on my??mobility??if I ever get depressed than any psychiatrist ever will know what to do with. Within a few years, my band will know my heart rate at all times, my respiration rate, my galvanic skin resistance (one parameter among multiple ones used to measure my stress level), my metabolic rate (should cost about $10 to add to the band by measuring my CO2 in my breath and may detect changes in my body chemistry too like when I get a certain type of cancer and traces of it show up in my breath).

All my ???health data??? as well as my ???sick data??? and my ???activity data??? will be accessible to Dr. A (and location when I was stressed or breathing hard or getting the allergic reaction and what chemicals were nearby or in the air???did toluene exposure cause me to break out in a rash from that new carpet or trigger a systemic reaction from my body?). I doubt I will be prescribed an arthritis medicine without Dr. A knowing my genetics and the genetics of my autoimmune disease. Or a cancer medicine without the genetics of my cancer when the genetic sequence (once per life) costs far less than a single dose of medicine. In fact all my infectious disease treatments may be based on analysis of my full genome and my history of exposure to viruses, bacteria and toxic chemicals.

Constant everyday health data from non-medical devices will swamp the ???sickness tests??? used in most medical diagnosis and be supplemented by detailed genetic, proteomic and sick data with bionic software??and machine learning systems. Siri might even remind me one day that my heart rate while sleeping has gone up abnormally over the last year, so I should go run some heart sickness cardiograms or imaging tests. Obviously, Siri???s children and its server friends will be able to keep up with the latest research and decide on optimal strategies based on patient preference (???I prefer to live longer even if it means all the fancy treatments??? or ???I want to live a normal life and die. I prefer to spend more of my time with my children than at the hospital??? or ???I like taking risky treatments???). They will take into account known research, early pioneering approaches, very complex interrelationships and much more.

My best guess is that today a physician???s bias makes all these personal decisions for patients in a majority of the cases without the patient (or sometimes even the physician) realizing what ???preferences ??? are being incorporated into their recommendations. The situation gets worse the less educated or economically less well-off the patient is, such as in developing countries, in my estimation.

Envisioning??Future Healthcare

Eventually, we won???t need the average doctor and will have much better and cheaper care for 90-99% of our medical needs. We will still need to leverage the top 10 or 20% of doctors (at least for the next two decades) to help that bionic software get better at diagnosis. So a world mostly without doctors (at least average ones) is not only not reasonable, but also more likely than not. There will be exceptions, and plenty of stories around these exceptions, but what I am talking about will most likely be the rule and doctors may be the exception rather than the other way around.

However fictionalized, we will be aiming to produce doctors like Gregory House who solve biomedical puzzles beyond our best input ability. And India, China and other countries may not have to worry about the investment in massive healthcare or massive inequalities in the type of physicians they might have access to. And hopefully our bionic software (or independent software someday) will be free of the influence of heavily marketed but only minimally effective drugs or treatment regimes or branding campaigns against generics or lower-cost and equally effective, more affordable drugs and treatments. Dr. A will be able to do a cost optimization too both at the patient level and at the policy level (but we may choose, at least for a decade or two, to reject its recommendations???we will still be free to be stupid or political).

What is important to realize is how medical education and the medical profession will change toward the better as a result of these trends. The vision I am proposing here, though, is one in which those decades of learning and experience are used where they actually matter. We consider doctors some of the most learned people in our society. We should aim to use their time and knowledge in the most efficient manner possible. And everybody should have access to the skills of the very best ones instead of only having access to the average doctor. And the not so ???Dr. House??? doctors will help us with better patient skills, bedside manners, empathy, advice and caring, and they will have more time for that too. If computers can drive cars and deal with all the knowledge in jeopardy, surely their next to next to next???generation can do diagnosis, treatment and teaching in these far less uncertain domains and with a lot more data. Further the equalizing impact of both electronic doctors and teaching environments has hugely positive social implications. Besides, who wants to be treated by an ???average??? doctor? And who does not want to be an empowered patient?

The best way to predict this future is not to extrapolate the past and what has or has not worked, but to invent the future we want, the one we believe possible!

Image credit: Shutterstock/koya979

Vinod Khosla was a co-founder of Daisy Systems and founding Chief Executive Officer of Sun Microsystems, where he pioneered open systems and commercial RISC processors. Sun was funded by longtime friend and board member John Doerr of Kleiner Perkins Caufield & Byers. In 1986 Vinod joined Kleiner Perkins, where he was and continues to be a general partner of KPCB funds through KP X. Through the years there, with other partners, he took on Intel???s monopoly with Nexgen/AMD (the only…