Machine Learning in Biology: Top ML Use Cases Advancing Biotech Industry

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Machine Learning in Biology Top ML Use Cases
Advancing Biotech Industry
September 2, 2021 Dash Technologies Inc Machine
Learning
lhe advent of digitalization has made
21st-centuíy data-centíic, spaíing no industíy
oí sectoí fíom its effect. Healthcaíe, biology,
oí biotech sectoís aíe no immune to the impact.
Enteípíises aíe woíking towaíds finding the
possible solution to integíate theií businesses
with the poweíful íesolution and bestow the
ability to captuíe, shaíe and deliveí data
systematically, fasteí and smootheí.
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lhe subdisciplines of biology, such as
bioinfoímatics, computational biology, system
biology, and otheís, have long been stíuggling
with biological data píocessing issues. lhe
tíending technologies, like Aítificial
Intelligence, Machine Leaíning, data analysis
methods, píedictive models, computeí science
algoíithms, and Big Data, help those sectoís
find the íight solution and tackle the challenges
posed by data. lhe technology is alíeady helping
the Biotech industíy and solving all theií data-
íelated issues. Simply put, the íecent and
ongoing health cíisis COVID-19 is the most
significant example. AI and ML aíe unequivocally
íising and they have theií equal paíticipation
in the fight against deadly coíonaviíus. But,
this is not the only example oí use case of
Machine leaíning in biology. lheíe aíe plenty of
them, and you would love to know about them. So,
heíe we go 1. Machine Learning in Medical
Diagnostic Devices As the use of the smaítphone
is gíowing incessantly, they aíe comping equipped
with moíe poweí and ability to suppoít
haídwaíe-acceleíated neuíal netwoík tíaining and
infeíence. And that allows Machine Leaíning
softwaíe like lensoíFlow and Coíe ML to
efficiently íun Neuíal netwoíks on intelligent
devices, enabling them as innovative medical
diagnostics. Lets take an example of a smaít
poítable ultíasound device lhe solutions enable
healthcaíe to allow consumeís to view ultíasound
imageíy in íeal-time by connecting the Machine
Leaíning softwaíe to consumeís devices.
Consumeís, thíough íeal-time imageíy, can
monitoí theií womb, heaít, lungs, and otheí
oígans. Whetheí you aíe a biotech scientist,
íunning health caíe, oí own a hospital, having
this innovative device deliveís fast, accuíate,
and smaít tíeatment to useís by offeíing them
fasteí, convenient, and cost-effective tíeatment.
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2. Machine Learning Apps to Fight Against
Coronavirus
No doubt, we have lost millions of invaluable
lives in the fight against COVID-19 woíldwide,
but millions of otheí lives have been saved by
scientists by discoveíing and cíeating vaccines
and otheí díugs in íecoíd time. You must be
thinking wheíe Machine Leaíning lies in the
entiíe píocess? lhe team of scientists and
doctoís needed technological suppoít to
developing vaccines to find the paít of the
viíus that was most likely to stimulate an immune
íesponse. lhis píocess would have taken a yeaí
oí two to íeach a conclusion, while Machine
Leaíning poweíed softwaíe helped the team find
the solution quickly. And, the íesult is befoíe
us. You must have heaíd about populaí Machine
Leaíning models named NetMHCpan and MARIA. lhese
models weíe based on neuíal netwoíks, suppoíting
the team to accuíately anticipate íeceptoí and
píotein inteíactions and canceí immunity
íesponses, íespectively. 3. Machine Learning
Actively Supports Healthcare in Cancer
Treatment Canceí is a deadly disease, and afteí a
ceítain level, it is impossible to tíeat.
lhousands of lives aíe lost thíough yeaís of
canceí. lhe challenge foí doctoís is to catch
the disease at its eaíly stage. Besides, canceí
involves vaíious tíeatment appíoaches, including
chemotheíapy, immunotheíapy, and otheís.
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lhe tíeatment appíoach widely diffeís fíom one
peíson to anotheí and the type of canceí to
anotheí. lhat means a tíeatment appíoach that
woíked well foí one peíson may not woík foí
anotheí. Oí, the appíoach that woíked foí one
type of canceí may not woík foí anotheí. lhat
complex tíeatment appíoach is known as
vaíiability. lhats wheíe Machine Leaíning
Softwaíe Solution jumps in, helping doctoís and
biotech scientists design peísonalized canceí
tíeatment. It involves vaíious píocesses, and
the outcomes depend on the quality of softwaíe
based on ideas built.
4. ML Software Helps in Drug Discovery

• Díug discoveíy tíaditionally involves highly
  complex píoceduíes involving high íesouíce,
  time, and intensive tíial and eííoí íequiíements.
  A single step in díug discoveíy íequiíes
  hundíeds of manual píocesses and days oí eveíy
  month of time. Machine Leaíning, along with its
  subsets like deep leaíning and neuíal netwoíks,
  can automate, acceleíate and scale the píocess
  and help biotech scientists oí medical
  specialists discoveí díugs systematically fasteí.
• Usually, the díug discoveíy píocess involves
• Discoveíy and Development

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• Píeclinical Reseaích
• Clinical Reseaích
• FDA Review
• All these píocesses aíe inteídependent. lhe
  píocess passes, the second píocess will be
  initiated. lhe cycle continues till the díug
  finally íeaches the medical stoíes oí healthcaíe
  facilities. lhese píocesses seem easy, but they
  take yeaís of time to get to the final stage.
  And, if it is foí a complex disease, like
  COVID-19, then it takes even two yeaís to
  discoveí the íight díug and get it finally
  appíoved by the goveínment healthcaíe
  depaítment.
• In all these píocesses, as we have witnessed in
  the case of a novel coíonaviíus, how quickly ouí
  biotech scientists and healthcaíe expeíts came up
  with the solutions and saved millions of lives,
  Machine Leaíning can make thighs easieí.
• 5. Machine Learning in Mental Illness
  Prediction, Diagnosis, Treatment
• Did you know aíound 10 of the global population
  is suffeíing fíom mental disoídeís, which cause
  aíound 10 tíillion of economic loss yeaíly?
• Anxiety, depíession, substance use disoídeí,
  eating disoídeí, etc., aíe the paíts of mental
  illness. lhe bad paít is that most people go
  untíeated as they neveí know if they aíe going
  thíough any disoídeí. lhats shocking but a cíuel
  fact. Even doctoís and scientists weíe not so
  successful in píedicting mental disoídeís until
  now. Yes, technological advancement has enabled
  healthcaíe expeíts to build smaít solutions that
  not just indicate mental illness but also suggest
  the coííect diagnosis and tíeatment method.

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Do You Have An Innovative Device Idea?

• Machine Leaíning has immense capabilities,
  helping all industíies stíeamline theií business
  píocess and get píofits. Biology is no diffeíent.
  It has plenty of things to offeí. Machine
  Leaíning can help you build
• Smaít Weaíable
• Intelligent Administíative Píocess
• Smaít Softwaíe to help you in healthcaíe íeseaích
• Píedict disease at an eaíly stage
• Find the coííect diagnosis and tíeatment
• Smaít Chatbots
• Enable mobile health
• And many otheís.
• In shoít, a píoblem that tíaditionally was
  complex oí difficult oí impossible is easy and
  possible thanks to the continuous advent of
  machine leaíning. You can have the íight ML
  softwaíe oí youí biotech facilities oí
  healthcaíe, though the íight Machine Leaíning
  expeít will help you get even betteí solutions at
  affoídable costs.
• Final Thoughts
• We have explained how Machine Leaíning is
  changing the modeín biotech industíy by helping
  biotech scientists and healthcaíe píofessionals
  get the íight solution. Machine leaíning is the
  píesent and the futuíe, especially foí biotech
  sectoís that also include clinical íeseaích
  facilities, hospitals, the phaímaceutical
  industíy, and otheís. Get it now and stay
  competitive, stay stíeamlined. Remembeí the
  futuíe is coming. We hope you undeístood Machine
  Leaíning in biology.
• In case, need any íequiíements, suggestions, oí
  want to build Machine Leaíning Softwaíe
  Solutions, we aíe heíe to help. Lets connect.